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Merge pull request #29 from shrimo/dev
Added VIT tracker
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,123 @@ | ||
| """ | ||
| Node and function library for Tracking | ||
| """ | ||
|
|
||
| import cv2 | ||
| import numpy as np | ||
| from boxes import RootNode, insert_frame, Color | ||
|
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||
| cc = Color() | ||
|
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|
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| class VitTrack(RootNode): | ||
| """ | ||
| VIT tracker(vision transformer tracker) | ||
| is a much better model for real-time object tracking. | ||
| """ | ||
|
|
||
| def __init__(self, *args, **kwargs): | ||
| super().__init__(*args, **kwargs) | ||
| self.variable = self.param["variable"] | ||
| self.show_ROI = self.param["show_ROI"] | ||
| self.model_path = self.param["model_path"] | ||
| self.font = cv2.FONT_HERSHEY_SIMPLEX | ||
| self.go = False | ||
| self.Image = None | ||
| self.backend_target_pairs = [cv2.dnn.DNN_BACKEND_OPENCV, cv2.dnn.DNN_TARGET_CPU] | ||
| self.backend_id = self.backend_target_pairs[0] | ||
| self.target_id = self.backend_target_pairs[1] | ||
| self.params = cv2.TrackerVit_Params() | ||
| self.params.net = self.model_path | ||
| self.params.backend = self.backend_id | ||
| self.params.target = self.target_id | ||
| self.model = cv2.TrackerVit_create(self.params) | ||
|
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| def out_frame(self): | ||
| frame = self.get_frame(0) | ||
| if frame is None: | ||
| print("VitTrack stop") | ||
| elif self.disabled: | ||
| return frame | ||
| elif self.buffer.switch: | ||
| self.go = self.calculations_for_ROI(frame, self.buffer.roi) | ||
| self.buffer.switch = False | ||
| elif self.go: | ||
| isLocated, bbox, score = self.infer(frame) | ||
| self.visualize(frame, bbox, score, isLocated) | ||
| if self.show_ROI: | ||
| insert_frame(frame, self.Image) | ||
|
|
||
| return frame | ||
|
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| def calculations_for_ROI(self, frame, coord): | ||
| """ | ||
| Set region of interest (ROI) and traker init | ||
| """ | ||
| x0, y0, x1, y1 = coord | ||
| track_window = (x0, y0, x1 - x0, y1 - y0) | ||
| # print(f'window: {track_window}') | ||
|
|
||
| tmp = self.model.init(frame, track_window) | ||
| if not tmp: | ||
| print("[ERROR] tracker not initialized") | ||
| frame = frame[coord[1] : coord[3], coord[0] : coord[2]] | ||
| self.Image = frame.copy() | ||
| return True | ||
|
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||
| def infer(self, image): | ||
| is_located, bbox = self.model.update(image) | ||
| score = self.model.getTrackingScore() | ||
| return is_located, bbox, score | ||
|
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||
| def visualize( | ||
| self, | ||
| frame, | ||
| bbox, | ||
| score, | ||
| isLocated, | ||
| fontScale=0.5, | ||
| fontSize=1, | ||
| ): | ||
| h, w, _ = frame.shape | ||
|
|
||
| if isLocated and score >= 0.3: | ||
| # bbox: Tuple of length 4 | ||
| x, y, w, h = bbox | ||
| cv2.rectangle(frame, (x, y), (x + w, y + h), cc.yellow, 1) | ||
| label = "{:.2f}".format(score) | ||
| width_label = (6 * len(label)) + 16 | ||
| cv2.rectangle(frame, (x, y), (x + width_label, y + 20), cc.yellow, -1) | ||
| cv2.putText( | ||
| frame, | ||
| label, | ||
| (x + 2, y + 15), | ||
| self.font, | ||
| fontScale, | ||
| cc.gray, | ||
| fontSize, | ||
| ) | ||
| center = (np.int32(x + w * 0.5), np.int32(y + h * 0.5)) | ||
| cv2.circle(frame, center, 2, cc.red, -1) | ||
| else: | ||
| text_size, baseline = cv2.getTextSize( | ||
| "Target lost", cv2.FONT_HERSHEY_DUPLEX, fontScale, fontSize | ||
| ) | ||
| text_x = int((w - text_size[0]) / 2) | ||
| text_y = int((h - text_size[1]) / 2) | ||
| cv2.putText( | ||
| frame, | ||
| "Target lost!", | ||
| (text_x, text_y), | ||
| cv2.FONT_HERSHEY_DUPLEX, | ||
| fontScale, | ||
| cc.red, | ||
| fontSize, | ||
| ) | ||
|
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| return frame | ||
|
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| def update(self, param): | ||
| self.disabled = param["disabled"] | ||
| self.model_path = param["model_path"] | ||
| self.variable = param["variable"] | ||
| self.show_ROI = param["show_ROI"] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,42 @@ | ||
| """ GUI for tracking nodes """ | ||
| from Qt import QtCore, QtWidgets | ||
| from plugins_ui.main_gui_nodes import NodeColorStyle | ||
| from NodeGraphQt import BaseNode | ||
| from NodeGraphQt.constants import ( | ||
| NODE_PROP_QLABEL, | ||
| NODE_PROP_QLINEEDIT, | ||
| NODE_PROP_QCOMBO, | ||
| NODE_PROP_QSPINBOX, | ||
| NODE_PROP_COLORPICKER, | ||
| NODE_PROP_SLIDER, | ||
| NODE_PROP_FILE, | ||
| NODE_PROP_QCHECKBOX, | ||
| NODE_PROP_FLOAT, | ||
| ) | ||
|
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| ncs = NodeColorStyle() | ||
| ncs.set_value(15) | ||
|
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|
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| class VitTrack(BaseNode): | ||
| __identifier__ = "nodes.Tracking" | ||
| NODE_NAME = "VitTrack" | ||
|
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| def __init__(self): | ||
| super().__init__() | ||
| self.add_input("in", color=(180, 80, 180)) | ||
| self.add_output("out") | ||
| self.create_property( | ||
| "label_model_path", "Model path", widget_type=NODE_PROP_QLABEL | ||
| ) | ||
| self.create_property( | ||
| "model_path", | ||
| "data/object_tracking_vittrack_2023sep.onnx", | ||
| widget_type=NODE_PROP_FILE, | ||
| ) | ||
| self.create_property("label_variable", "Variable", widget_type=NODE_PROP_QLABEL) | ||
| self.create_property("variable", "track1", widget_type=NODE_PROP_QLINEEDIT) | ||
| self.add_checkbox( | ||
| "show_ROI", "Show ROI", text="On/Off", state=False, tab="attributes" | ||
| ) | ||
| self.set_color(*ncs.Tracking) |
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