From 50ce328bfd3e7c75c15112e054accce5efc9c7bf Mon Sep 17 00:00:00 2001 From: Sunita Nayak Date: Mon, 1 Oct 2018 06:46:18 -0700 Subject: [PATCH 1/2] object detection and instance segmentation using mask rcnn --- Mask-RCNN/README.md | 25 + Mask-RCNN/cars.jpg | Bin 0 -> 353371 bytes Mask-RCNN/cars.mp4 | Bin 0 -> 1693441 bytes Mask-RCNN/colors.txt | 11 + Mask-RCNN/mask_rcnn.cpp | 253 + Mask-RCNN/mask_rcnn.out | Bin 0 -> 152404 bytes Mask-RCNN/mask_rcnn.py | 175 + ...sk_rcnn_inception_v2_coco_2018_01_28.pbtxt | 7583 +++++++++++++++++ Mask-RCNN/mscoco_labels.names | 90 + 9 files changed, 8137 insertions(+) create mode 100644 Mask-RCNN/README.md create mode 100644 Mask-RCNN/cars.jpg create mode 100644 Mask-RCNN/cars.mp4 create mode 100644 Mask-RCNN/colors.txt create mode 100644 Mask-RCNN/mask_rcnn.cpp create mode 100755 Mask-RCNN/mask_rcnn.out create mode 100644 Mask-RCNN/mask_rcnn.py create mode 100644 Mask-RCNN/mask_rcnn_inception_v2_coco_2018_01_28.pbtxt create mode 100644 Mask-RCNN/mscoco_labels.names diff --git a/Mask-RCNN/README.md b/Mask-RCNN/README.md new file mode 100644 index 000000000..b59636ac3 --- /dev/null +++ b/Mask-RCNN/README.md @@ -0,0 +1,25 @@ +**Python** + +`wget http://download.tensorflow.org/models/object_detection/mask_rcnn_inception_v2_coco_2018_01_28.tar.gz` +`tar zxvf mask_rcnn_inception_v2_coco_2018_01_28.tar.gz` + +Download and extract the needed model files. + +**Usage Examples :** + +**Python** + +`python3 mask_rcnn.py --image=cars.jpg` +`python3 mask_rcnn.py --video=cars.mp4` + +It starts the webcam - if no argument provided. + +**C++** + +Compile using: + +```g++ -ggdb `pkg-config --cflags --libs /Users/snayak/opencv/build/unix-install/opencv.pc` mask_rcnn.cpp -o mask_rcnn.out``` + +Run using: +`./mask_rcnn.out --image=cars.jpg` +`./mask_rcnn.out --video=cars.mp4` diff --git a/Mask-RCNN/cars.jpg b/Mask-RCNN/cars.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a2fb2c239451900859b02f35460107c1addd20cf 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| | Usage examples: \n\t\t./mask-rcnn.out --image=traffic.jpg \n\t\t./mask-rcnn.out --video=sample.mp4}" +"{image i || input image }" +"{video v || input video }" +; +using namespace cv; +using namespace dnn; +using namespace std; + +// Initialize the parameters +float confThreshold = 0.5; // Confidence threshold +float maskThreshold = 0.3; // Mask threshold + +vector classes; +vector colors; + +// Draw the predicted bounding box +void drawBox(Mat& frame, int classId, float conf, Rect box, Mat& objectMask); + +// Postprocess the neural network's output for each frame +void postprocess(Mat& frame, const vector& outs); + +int main(int argc, char** argv) +{ + CommandLineParser parser(argc, argv, keys); + parser.about("Use this script to run object detection using YOLO3 in OpenCV."); + if (parser.has("help")) + { + parser.printMessage(); + return 0; + } + // Load names of classes + string classesFile = "mscoco_labels.names"; + ifstream ifs(classesFile.c_str()); + string line; + while (getline(ifs, line)) classes.push_back(line); + + // Load the colors + string colorsFile = "colors.txt"; + ifstream colorFptr(colorsFile.c_str()); + while (getline(colorFptr, line)) { + char* pEnd; + double r, g, b; + r = strtod (line.c_str(), &pEnd); + g = strtod (pEnd, NULL); + b = strtod (pEnd, NULL); + Scalar color = Scalar(r, g, b, 255.0); + colors.push_back(Scalar(r, g, b, 255.0)); + } + + // Give the configuration and weight files for the model + String textGraph = "./mask_rcnn_inception_v2_coco_2018_01_28.pbtxt"; + String modelWeights = "./mask_rcnn_inception_v2_coco_2018_01_28/frozen_inference_graph.pb"; + + // Load the network + Net net = readNetFromTensorflow(modelWeights, textGraph); + net.setPreferableBackend(DNN_BACKEND_OPENCV); + net.setPreferableTarget(DNN_TARGET_CPU); + + // Open a video file or an image file or a camera stream. + string str, outputFile; + VideoCapture cap; + VideoWriter video; + Mat frame, blob; + + try { + + outputFile = "mask_rcnn_out_cpp.avi"; + if (parser.has("image")) + { + // Open the image file + str = parser.get("image"); + //cout << "Image file input : " << str << endl; + ifstream ifile(str); + if (!ifile) throw("error"); + cap.open(str); + str.replace(str.end()-4, str.end(), "_mask_rcnn_out.jpg"); + outputFile = str; + } + else if (parser.has("video")) + { + // Open the video file + str = parser.get("video"); + ifstream ifile(str); + if (!ifile) throw("error"); + cap.open(str); + str.replace(str.end()-4, str.end(), "_mask_rcnn_out.avi"); + outputFile = str; + } + // Open the webcam + else cap.open(parser.get("device")); + + } + catch(...) { + cout << "Could not open the input image/video stream" << endl; + return 0; + } + + // Get the video writer initialized to save the output video + if (!parser.has("image")) { + video.open(outputFile, VideoWriter::fourcc('M','J','P','G'), 28, Size(cap.get(CAP_PROP_FRAME_WIDTH), cap.get(CAP_PROP_FRAME_HEIGHT))); + } + + // Create a window + static const string kWinName = "Deep learning object detection in OpenCV"; + namedWindow(kWinName, WINDOW_NORMAL); + + // Process frames. + while (waitKey(1) < 0) + { + // get frame from the video + cap >> frame; + + // Stop the program if reached end of video + if (frame.empty()) { + cout << "Done processing !!!" << endl; + cout << "Output file is stored as " << outputFile << endl; + waitKey(3000); + break; + } + // Create a 4D blob from a frame. + blobFromImage(frame, blob, 1.0, Size(frame.cols, frame.rows), Scalar(), true, false); + //blobFromImage(frame, blob); + + //Sets the input to the network + net.setInput(blob); + + // Runs the forward pass to get output from the output layers + std::vector outNames(2); + outNames[0] = "detection_out_final"; + outNames[1] = "detection_masks"; + vector outs; + net.forward(outs, outNames); + + // Extract the bounding box and mask for each of the detected objects + postprocess(frame, outs); + + // Put efficiency information. The function getPerfProfile returns the overall time for inference(t) and the timings for each of the layers(in layersTimes) + vector layersTimes; + double freq = getTickFrequency() / 1000; + double t = net.getPerfProfile(layersTimes) / freq; + string label = format("Mask-RCNN on 2.5 GHz Intel Core i7 CPU, Inference time for a frame : %0.0f ms", t); + putText(frame, label, Point(0, 15), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(0, 0, 0)); + + // Write the frame with the detection boxes + Mat detectedFrame; + frame.convertTo(detectedFrame, CV_8U); + if (parser.has("image")) imwrite(outputFile, detectedFrame); + else video.write(detectedFrame); + + imshow(kWinName, frame); + + } + + cap.release(); + if (!parser.has("image")) video.release(); + + return 0; +} + +// For each frame, extract the bounding box and mask for each detected object +void postprocess(Mat& frame, const vector& outs) +{ + Mat outDetections = outs[0]; + Mat outMasks = outs[1]; + + // Output size of masks is NxCxHxW where + // N - number of detected boxes + // C - number of classes (excluding background) + // HxW - segmentation shape + const int numDetections = outDetections.size[2]; + const int numClasses = outMasks.size[1]; + + outDetections = outDetections.reshape(1, outDetections.total() / 7); + for (int i = 0; i < numDetections; ++i) + { + float score = outDetections.at(i, 2); + if (score > confThreshold) + { + // Extract the bounding box + int classId = static_cast(outDetections.at(i, 1)); + int left = static_cast(frame.cols * outDetections.at(i, 3)); + int top = static_cast(frame.rows * outDetections.at(i, 4)); + int right = static_cast(frame.cols * outDetections.at(i, 5)); + int bottom = static_cast(frame.rows * outDetections.at(i, 6)); + + left = max(0, min(left, frame.cols - 1)); + top = max(0, min(top, frame.rows - 1)); + right = max(0, min(right, frame.cols - 1)); + bottom = max(0, min(bottom, frame.rows - 1)); + Rect box = Rect(left, top, right - left + 1, bottom - top + 1); + + // Extract the mask for the object + Mat objectMask(outMasks.size[2], outMasks.size[3],CV_32F, outMasks.ptr(i,classId)); + + // Draw bounding box, colorize and show the mask on the image + drawBox(frame, classId, score, box, objectMask); + + } + } +} + +// Draw the predicted bounding box, colorize and show the mask on the image +void drawBox(Mat& frame, int classId, float conf, Rect box, Mat& objectMask) +{ + //Draw a rectangle displaying the bounding box + rectangle(frame, Point(box.x, box.y), Point(box.x+box.width, box.y+box.height), Scalar(255, 178, 50), 3); + + //Get the label for the class name and its confidence + string label = format("%.2f", conf); + if (!classes.empty()) + { + CV_Assert(classId < (int)classes.size()); + label = classes[classId] + ":" + label; + } + + //Display the label at the top of the bounding box + int baseLine; + Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine); + box.y = max(box.y, labelSize.height); + rectangle(frame, Point(box.x, box.y - round(1.5*labelSize.height)), Point(box.x + round(1.5*labelSize.width), box.y + baseLine), Scalar(255, 255, 255), FILLED); + putText(frame, label, Point(box.x, box.y), FONT_HERSHEY_SIMPLEX, 0.75, Scalar(0,0,0),1); + + Scalar color = colors[classId%colors.size()]; + + // Resize the mask, threshold, color and apply it on the image + resize(objectMask, objectMask, Size(box.width, box.height)); + Mat mask = (objectMask > maskThreshold); + Mat coloredRoi = (0.3 * color + 0.7 * frame(box)); + coloredRoi.convertTo(coloredRoi, CV_8UC3); + + // Draw the contours on the image + vector contours; + Mat hierarchy; + mask.convertTo(mask, CV_8U); + findContours(mask, contours, hierarchy, RETR_CCOMP, CHAIN_APPROX_SIMPLE); + drawContours(coloredRoi, contours, -1, color, 5, LINE_8, hierarchy, 100); + coloredRoi.copyTo(frame(box), mask); + +} diff --git a/Mask-RCNN/mask_rcnn.out b/Mask-RCNN/mask_rcnn.out new file mode 100755 index 0000000000000000000000000000000000000000..e5254e4e05d318baa839cc8432e41d1fe6f87fb3 GIT binary patch literal 152404 zcmeFa4}4u!l`novTL}u@prBDvGc%nbAZjX9gB3}kfm2L0q8-C1Hc$#-cW4^7NSdHlrx0_Hf?%qTi06`vM7IdjTDDN zx7{>@u@w{O~h$)&aOn$IS-qnH*FT5T zjwzRr|IiQDR(ti(^2Ur^^0Ru;-aenCN!~SAZQ6F-)t6p-)u!IXO6Bn{e{xoUswl%40o?3*=pWEj#tf?VB#|yJquZ{kB;9CF6Vycvjvq8CksC zwCS=-wqH^u*7nD^lQ-nLf%xIa#pY|TzWUm05{b3)TCOntniB@VtbVSTG(jmcC`V_*uYrF3YuG?05Y+ay>JrvDE-R?=P3-y3l|p99WiXy&{(bYpxT2{Pzho z1pi)(>u&>wqAvY2_0wg!w`3J^Y|jR4#NV;_du89Yt*^Z5%1d8)*>zW42Au!k#&gue zzy4cayLjw1$9;6)#8daa{bPT&3bcCs<&J~0_&YVhNyEP;)R+01PZFB`u$)%>F^&FX z`3fkGzt*k2mu&B0>DTsdxn}cwFg;wkeRB^S+$&Ch#Tl=FMps@6cInv)`1JYvFcECs zvTb4ZBhUYyD=*t}?KXJog#wOP|4X*^ZN7G4-rq|9ORw0r<%+8p2{_{NFTL{GE3ets zd*#+Gmt}<Jvp9lD~?SI)d*KE4>(m%ay%l0jsw=WVSIW0#dr*}ak zQ2!&!cljlow`7Vv;(GV?T)X{$rr$2_d+&R%%M=WK`R|DJ?zwz{$sV!ZS6+R^rk+c- z_0$y2{72MZS6z9{mQ9y!*|vG>mA%`q-C85&$j8mKz1uIp>e@eBD*qAn+tw`$M*I=C z+tw>C%^Lam|Lti`?dskK1j1TRC(#U46+??)S*;VEfifHot3WJz8OtPwzhvW^CKCeZgS( zZN?FoD;XnXJ06k!!Ea@<9r?KJz3ST9@{XvU{g-dKgx$aGRax^r@^;?Vb4hR3(V?FF zcf|Iqc`jSyYW^c?udA_^^iJs7N4 z^j%q_{*mWbyI;A;aU5~`U4GRi3oW(UZ>_j|+VR!D^yGZR<)iyHUwhe>%{2q`i1RO9 z{E@d`|I!on5tqNT`KkOPvir@~Zp{ummdp4)Y4_YQ!-%$*Rby%dQ=4D*vRABjp)C2c z<*azsgNX7M^1tP}ZQHk8{fcv{(QhvIN65#xyK5Bd2EbDs-imcX9j<@(?{_WmyB7Fe z3;eDHe%AuOYk}Xj!0%e%e~%W}=mkIV1`pJG!H#(^+%X@&>?7Ei8N9vz;@k2sU7yP> zN`Kc!7p1?&+j(H-WRSy^8`m!b$az8AT-jg$?*|XEmO-f%S6)zT0SJpi!U7TGSi1o^ zqNq_EcL&8M?Mh{n6e3;YJ~2GI#p+Uoa3B&oE@>lQOr zp0k*iw8Fd6jK6sEQqraRc`4Hrn7qiJhDy+*QyQ$yy$-D!_#Uy)h+!lw@ViM2qAp7_ z%?5!?+;W@IYSG)-j; 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left:right+1][mask] = ([0.3*color[0], 0.3*color[1], 0.3*color[2]] + 0.7 * roi).astype(np.uint8) + + # Draw the contours on the image + mask = mask.astype(np.uint8) + im2, contours, hierarchy = cv.findContours(mask,cv.RETR_TREE,cv.CHAIN_APPROX_SIMPLE) + cv.drawContours(frame[top:bottom+1, left:right+1], contours, -1, color, 3, cv.LINE_8, hierarchy, 100) + +# For each frame, extract the bounding box and mask for each detected object +def postprocess(boxes, masks): + # Output size of masks is NxCxHxW where + # N - number of detected boxes + # C - number of classes (excluding background) + # HxW - segmentation shape + numClasses = masks.shape[1] + numDetections = boxes.shape[2] + + frameH = frame.shape[0] + frameW = frame.shape[1] + + for i in range(numDetections): + box = boxes[0, 0, i] + mask = masks[i] + score = box[2] + if score > confThreshold: + classId = int(box[1]) + + # Extract the bounding box + left = int(frameW * box[3]) + top = int(frameH * box[4]) + right = int(frameW * box[5]) + bottom = int(frameH * box[6]) + + left = max(0, min(left, frameW - 1)) + top = max(0, min(top, frameH - 1)) + right = max(0, min(right, frameW - 1)) + bottom = max(0, min(bottom, frameH - 1)) + + # Extract the mask for the object + classMask = mask[classId] + + # Draw bounding box, colorize and show the mask on the image + drawBox(frame, classId, score, left, top, right, bottom, classMask) + + +# Load names of classes +classesFile = "mscoco_labels.names"; +classes = None +with open(classesFile, 'rt') as f: + classes = f.read().rstrip('\n').split('\n') + +# Give the textGraph and weight files for the model +textGraph = "./mask_rcnn_inception_v2_coco_2018_01_28.pbtxt"; +modelWeights = "./mask_rcnn_inception_v2_coco_2018_01_28/frozen_inference_graph.pb"; + +# Load the network +net = cv.dnn.readNetFromTensorflow(modelWeights, textGraph); +net.setPreferableBackend(cv.dnn.DNN_BACKEND_OPENCV) +net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU) + +# Load the classes +colorsFile = "colors.txt"; +with open(colorsFile, 'rt') as f: + colorsStr = f.read().rstrip('\n').split('\n') +colors = [] #[0,0,0] +for i in range(len(colorsStr)): + rgb = colorsStr[i].split(' ') + color = np.array([float(rgb[0]), float(rgb[1]), float(rgb[2])]) + colors.append(color) + +winName = 'Mask-RCNN Object detection and Segmentation in OpenCV' +cv.namedWindow(winName, cv.WINDOW_NORMAL) + +outputFile = "mask_rcnn_out_py.avi" +if (args.image): + # Open the image file + if not os.path.isfile(args.image): + print("Input image file ", args.image, " doesn't exist") + sys.exit(1) + cap = cv.VideoCapture(args.image) + outputFile = args.image[:-4]+'_mask_rcnn_out_py.jpg' +elif (args.video): + # Open the video file + if not os.path.isfile(args.video): + print("Input video file ", args.video, " doesn't exist") + sys.exit(1) + cap = cv.VideoCapture(args.video) + outputFile = args.video[:-4]+'_mask_rcnn_out_py.avi' +else: + # Webcam input + cap = cv.VideoCapture(0) + +# Get the video writer initialized to save the output video +if (not args.image): + vid_writer = cv.VideoWriter(outputFile, cv.VideoWriter_fourcc('M','J','P','G'), 28, (round(cap.get(cv.CAP_PROP_FRAME_WIDTH)),round(cap.get(cv.CAP_PROP_FRAME_HEIGHT)))) + +while cv.waitKey(1) < 0: + + # Get frame from the video + hasFrame, frame = cap.read() + + # Stop the program if reached end of video + if not hasFrame: + print("Done processing !!!") + print("Output file is stored as ", outputFile) + cv.waitKey(3000) + break + + # Create a 4D blob from a frame. + blob = cv.dnn.blobFromImage(frame, swapRB=True, crop=False) + + # Set the input to the network + net.setInput(blob) + + # Run the forward pass to get output from the output layers + boxes, masks = net.forward(['detection_out_final', 'detection_masks']) + + # Extract the bounding box and mask for each of the detected objects + postprocess(boxes, masks) + + # Put efficiency information. + t, _ = net.getPerfProfile() + label = 'Mask-RCNN on 2.5 GHz Intel Core i7 CPU, Inference time for a frame : %0.0f ms' % abs(t * 1000.0 / cv.getTickFrequency()) + cv.putText(frame, label, (0, 15), cv.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0)) + + # Write the frame with the detection boxes + if (args.image): + cv.imwrite(outputFile, frame.astype(np.uint8)); + else: + vid_writer.write(frame.astype(np.uint8)) + + cv.imshow(winName, frame) + diff --git a/Mask-RCNN/mask_rcnn_inception_v2_coco_2018_01_28.pbtxt b/Mask-RCNN/mask_rcnn_inception_v2_coco_2018_01_28.pbtxt new file mode 100644 index 000000000..218b14b96 --- /dev/null +++ b/Mask-RCNN/mask_rcnn_inception_v2_coco_2018_01_28.pbtxt @@ -0,0 +1,7583 @@ +node { + name: "image_tensor" + op: "Placeholder" + attr { + key: "dtype" + value { + type: DT_UINT8 + } + } + attr { + key: "shape" + value { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 3 + } + } + } + } +} +node { + name: "Preprocessor/mul" + op: "Mul" + input: "image_tensor" + input: "Preprocessor/mul/x" +} +node { + name: "Preprocessor/sub" + op: "Sub" + input: "Preprocessor/mul" + input: "Preprocessor/sub/y" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise" + op: "DepthwiseConv2dNative" + input: "Preprocessor/sub" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/depthwise_weights" + input: "^FirstStageFeatureExtractor/Assert/Assert" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 2 + i: 2 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/pointwise_weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "VALID" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/MaxPool_2a_3x3/MaxPool" + op: "MaxPool" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/Relu" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 2 + i: 2 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2b_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/MaxPool_2a_3x3/MaxPool" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2b_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2b_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2b_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2b_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2c_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2b_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2c_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2c_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2c_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/MaxPool_3a_3x3/MaxPool" + op: "MaxPool" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_2c_3x3/Relu" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 2 + i: 2 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/MaxPool_3a_3x3/MaxPool" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/MaxPool_3a_3x3/MaxPool" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/MaxPool_3a_3x3/MaxPool" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/AvgPool_0a_3x3/AvgPool" + op: "AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/MaxPool_3a_3x3/MaxPool" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/AvgPool_0a_3x3/AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/concat" + op: "ConcatV2" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/concat/axis" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: 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input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3b/concat" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/Conv2D" + input: 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"FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/Conv2D" + input: 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+ value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_3/AvgPool_0a_3x3/AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" + op: 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"FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4a/concat" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + 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+ value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_3/AvgPool_0a_3x3/AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" + op: 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+ value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/concat" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/Conv2D" + input: 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"FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/concat" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/Conv2D" + input: 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"FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_3/AvgPool_0a_3x3/AvgPool" + op: "AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4b/concat" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: 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+ key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/concat" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: 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"FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/Relu" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/Conv2D" + input: 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"FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_3/AvgPool_0a_3x3/AvgPool" + op: "AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/concat" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/Conv2D" + op: "Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_3/AvgPool_0a_3x3/AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma" + input: 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"FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/Conv2D" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/beta" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean" + input: "FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/Relu" + op: "Relu" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4e/Branch_3/AvgPool_0a_3x3/AvgPool" + op: "AvgPool" + input: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Mixed_4d/concat" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: 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"SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/concat" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/concat" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 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"SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/MaxPool_0a_3x3/MaxPool" + op: "MaxPool" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/concat" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/MaxPool_0a_3x3/MaxPool" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/concat" + op: "ConcatV2" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/concat/axis" +} +node { + name: "SecondStageBoxPredictor/AvgPool" + op: "Mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/concat" + input: "SecondStageBoxPredictor/AvgPool/reduction_indices" + attr { + key: "keep_dims" + value { + b: true + } + } +} +node { + name: 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"transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: false + } + } +} +node { + name: "SecondStageBoxPredictor/ClassPredictor/BiasAdd" + op: "BiasAdd" + input: "SecondStageBoxPredictor/ClassPredictor/MatMul" + input: "SecondStageBoxPredictor/ClassPredictor/biases" + attr { + key: "data_format" + value { + s: "NHWC" + } + } +} +node { + name: "SecondStageBoxPredictor/Reshape" + op: "Reshape" + input: "SecondStageBoxPredictor/BoxEncodingPredictor/BiasAdd" + input: "SecondStageBoxPredictor/Reshape/shape2" +} +node { + name: "SecondStageBoxPredictor/Reshape_1" + op: "Reshape" + input: "SecondStageBoxPredictor/ClassPredictor/BiasAdd" + input: "SecondStageBoxPredictor/Reshape_1/shape" +} +node { + name: "SecondStageBoxPredictor/Reshape_1/softmax" + op: "Softmax" + input: "SecondStageBoxPredictor/Reshape_1" + attr { + key: "axis" + value { + i: -1 + } + } +} +node { + name: "SecondStageBoxPredictor/Reshape_1/slice/begins" + op: "Const" + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 3 + } + } + int_val: 0 + int_val: 0 + int_val: 1 + } + } + } +} +node { + name: "SecondStageBoxPredictor/Reshape_1/slice/sizes" + op: "Const" + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 3 + } + } + int_val: -1 + int_val: -1 + int_val: -1 + } + } + } +} +node { + name: "SecondStageBoxPredictor/Reshape_1/slice" + op: "Slice" + input: "SecondStageBoxPredictor/Reshape_1/softmax" + input: "SecondStageBoxPredictor/Reshape_1/slice/begins" + input: "SecondStageBoxPredictor/Reshape_1/slice/sizes" +} +node { + name: "SecondStageBoxPredictor/Reshape_1/Reshape/shape" + op: "Const" + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + int_val: 1 + int_val: -1 + } + } + } +} +node { + name: "SecondStageBoxPredictor/Reshape_1/Reshape" + op: "Reshape" + input: "SecondStageBoxPredictor/Reshape_1/slice" + input: "SecondStageBoxPredictor/Reshape_1/Reshape/shape" +} +node { + name: "SecondStageBoxPredictor/Reshape/shape2" + op: "Const" + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 3 + } + } + int_val: 1 + int_val: -1 + int_val: 4 + } + } + } +} +node { + name: "detection_out/slice/begins" + op: "Const" + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 4 + } + } + int_val: 0 + int_val: 0 + int_val: 0 + int_val: 3 + } + } + } +} +node { + name: "detection_out/slice/sizes" + op: "Const" + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 4 + } + } + int_val: -1 + int_val: -1 + int_val: -1 + int_val: 4 + } + } + } +} +node { + name: "detection_out/slice" + op: "Slice" + input: "detection_out" + input: "detection_out/slice/begins" + input: "detection_out/slice/sizes" +} +node { + name: "proposals/variance" + op: "Const" + attr { + key: "value" + value { + tensor 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input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool" + op: "AvgPool" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5a/concat" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/concat" + op: "ConcatV2" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/concat/axis" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/concat" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5b/concat" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D" + input: 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"SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 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"SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D" + input: 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attr { + key: "ksize" + value { + list { + i: 1 + i: 3 + i: 3 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D" + op: "Conv2D" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_3/MaxPool_0a_3x3/MaxPool" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" + op: "FusedBatchNorm" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean" + input: "SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "epsilon" + value { + f: 0.0010000000475 + } + } +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu" + op: "Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm" +} +node { + name: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/concat" + op: "ConcatV2" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/concat/axis" +} +node { + name: "SecondStageBoxPredictor_1/ResizeBilinear" + op: "ResizeBilinear" + input: "SecondStageFeatureExtractor_1/InceptionV2/Mixed_5c/concat" + input: "SecondStageBoxPredictor_1/ResizeBilinear/size" + attr { + key: "align_corners" + value { + b: true + } + } +} +node { + name: "SecondStageBoxPredictor_1/Conv/Conv2D" + op: "Conv2D" + input: "SecondStageBoxPredictor_1/ResizeBilinear" + input: "SecondStageBoxPredictor/Conv/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageBoxPredictor_1/Conv/BiasAdd" + op: "BiasAdd" + input: "SecondStageBoxPredictor_1/Conv/Conv2D" + input: "SecondStageBoxPredictor/Conv/biases" + attr { + key: "data_format" + value { + s: "NHWC" + } + } +} +node { + name: "SecondStageBoxPredictor_1/Conv/Relu" + op: "Relu" + input: "SecondStageBoxPredictor_1/Conv/BiasAdd" +} +node { + name: "SecondStageBoxPredictor_1/Conv_1/Conv2D" + op: "Conv2D" + input: "SecondStageBoxPredictor_1/Conv/Relu" + input: "SecondStageBoxPredictor/Conv_1/weights" + attr { + key: "data_format" + value { + s: "NHWC" + } + } + attr { + key: "dilations" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } + attr { + key: "padding" + value { + s: "SAME" + } + } + attr { + key: "strides" + value { + list { + i: 1 + i: 1 + i: 1 + i: 1 + } + } + } +} +node { + name: "SecondStageBoxPredictor_1/Conv_1/BiasAdd" + op: "BiasAdd" + input: "SecondStageBoxPredictor_1/Conv_1/Conv2D" + input: "SecondStageBoxPredictor/Conv_1/biases" + attr { + key: "data_format" + value { + s: "NHWC" + } + } +} +node { + name: "SecondStageBoxPredictor_1/transpose" + op: "Transpose" + input: "SecondStageBoxPredictor_1/Conv_1/BiasAdd" + input: "SecondStageBoxPredictor_1/transpose/perm" +} +node { + name: "detection_masks" + op: "Sigmoid" + input: "SecondStageBoxPredictor_1/transpose" +} +library { +} diff --git a/Mask-RCNN/mscoco_labels.names b/Mask-RCNN/mscoco_labels.names new file mode 100644 index 000000000..75aa546f4 --- /dev/null +++ b/Mask-RCNN/mscoco_labels.names @@ -0,0 +1,90 @@ +person +bicycle +car +motorcycle +airplane +bus +train +truck +boat +traffic light +fire hydrant + +stop sign +parking meter +bench +bird +cat +dog +horse +sheep +cow +elephant +bear +zebra +giraffe + +backpack +umbrella + + +handbag +tie +suitcase +frisbee +skis +snowboard +sports ball +kite +baseball bat +baseball glove +skateboard +surfboard +tennis racket +bottle + +wine glass +cup +fork +knife +spoon +bowl +banana +apple +sandwich +orange +broccoli +carrot +hot dog +pizza +donut +cake +chair +couch +potted plant +bed + +dining table + + +toilet + +tv +laptop +mouse +remote +keyboard +cell phone +microwave +oven +toaster +sink +refrigerator + +book +clock +vase +scissors +teddy bear +hair drier +toothbrush From 3405d0d57daf3e70c00f1d4c8cbf75b1721b2abd Mon Sep 17 00:00:00 2001 From: sunitanyk Date: Mon, 1 Oct 2018 07:10:30 -0700 Subject: [PATCH 2/2] Update README.md --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6b9a77a51..b5f5ab12b 100644 --- a/README.md +++ b/README.md @@ -5,8 +5,9 @@ Learn OpenCV : C++ and Python Examples. You can find the details at [LearnOpenC | Blog Post | | | ------------- |:-------------| -|[Install OpenCV 4 on Ubuntu 18.04](https://www.learnopencv.com/install-opencv-4-on-ubuntu-18-04/) | [Code](https://github.com/vishwesh5/learnopencv/blob/master/InstallScripts/installOpenCV-18-04.sh) | -|[Install OpenCV 4 on Ubuntu 16.04](https://www.learnopencv.com/install-opencv-4-on-ubuntu-16-04/) | [Code](https://github.com/vishwesh5/learnopencv/blob/master/InstallScripts/installOpenCV-16-04.sh) | +|[Deep learning based Object Detection and Instance Segmentation using Mask R-CNN in OpenCV (Python / C++)](https://www.learnopencv.com/deep-learning-based-object-detection-and-instance-segmentation-using-mask-r-cnn-in-opencv-python-c/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Mask-RCNN) | +|[Install OpenCV 4 on Ubuntu 18.04](https://www.learnopencv.com/install-opencv-4-on-ubuntu-18-04/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-18-04.sh) | +|[Install OpenCV 4 on Ubuntu 16.04](https://www.learnopencv.com/install-opencv-4-on-ubuntu-16-04/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-16-04.sh) | |[Multi-Person Pose Estimation in OpenCV using OpenPose](https://www.learnopencv.com/multi-person-pose-estimation-in-opencv-using-openpose/) | [Code](https://github.com/spmallick/learnopencv/tree/master/OpenPose-Multi-Person) | |[Heatmap for Logo Detection using OpenCV (Python)](https://www.learnopencv.com/heatmap-for-logo-detection-using-opencv-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/heatmap)| |[Deep Learning based Object Detection using YOLOv3 with OpenCV ( Python / C++ )](https://www.learnopencv.com/deep-learning-based-object-detection-using-yolov3-with-opencv-python-c/) | [Code](https://github.com/spmallick/learnopencv/tree/master/ObjectDetection-YOLO)|
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