yolov4 v3.2.0

CHANGELOG

• config: add yolov4-tiny-relu-new_coords.cfg
• c_src: layers: add yolo_tpu_layer_new_coords
• c_src, common, tf, tflite, mAP: add prob_thresh
• config: add yolov4-tiny-relu-new_coords-tpu.cfg
• common: base_class: modify text

yolov4 v3.1.0

CHANGELOG

• tf: layers: yolo_layer: remove some operations
• common: metalayer: yolo_layer: add new_coords
• tf: layers: yolo_layer: implement _coords_1 for new_coords
• tf: layers: convolutional_layer: add logistic activation
• c_src: py_box: add get_yolo_*_detections
• 🌟 config: add yolov4-csp.cfg and yolov4x-mish.cfg
• c_src: layers: modify yolo_tpu_layer
• tf, tflite: reflect v3.1.0 changes

yolov4 v3.0.1

CHANGELOG

• pypi: add 'pyproject.toml' and update 'setup.*'
• common: parser: update error message
• c_src: modify extended operator synonyms
• c_src: change c-header to cpp-header

yolov4 v3.0.0

CHANGELOG

• common: parser: add parse_cfg()
• common: config: implement YOLOConfig
• common: metalayer: implement metalayers
• common: metalayer: add YoloTpuLayer
• tf: layers: implement layers
• tf: layers: redefine BatchNormalization for transfer learning
• tf: layers: add YoloTpuLayer
• tf: dataset: refactor YOLODataset
• tf: dataset: add '_augmentation_cache'
• tf: training: refactor YOLOv4Loss
• tf: training: implement YOLOCallbackAtEachStep
• tf: training: refactor SaveWeightsCallback
• tf: utils: move weights.py from tf
• tf: utils: move mAP part from tf
• tf: utils: move tflite part from tf and fix converting issue
• c_src: py_box: add 'yolo_diou_nms'
• c_src: py_box: add convert_dataset_to_ground_truth
• c_src: layers: implement 'yolo_layer'
• tf, tflite: reflect v3.0.0 changes

yolov4 v2.1.0

CHANGELOG

• tflite: add edgetpu_lib argument to load_tflite()

Thanks to @chanangaza

yolov4 v2.0.3

CHANGELOG

• common: allow media_path to be video stream id
• tflite: fix problem of not finding load_delegate()

Thanks to @vanc, @fogelton

yolov4 v2.0.2

CHANGELOG

• tf: set converter.experimental_new_converter to False
• tf: set converter.inference_in/output_type to tf.uint8
• tflite: fix problem of not finding load_delegate()

Thanks to @paradigmn, @fogelton

yolov4 v2.0.1

CHANGELOG

• tf: set memory growth to True when using GPU
• model: head: correct line ending
• tf: add **kwargs parameter to compile() and fit()
• tf: fix strange ground truth values issue

yolov4 v2.0.0

CHANGELOG

• tf:dataset: add data format check
• 🌟common: base_class: change input_size from integer to (width, height)🌟
• common: base_class: set default arguments for candidates_to_pred_bboxes
• tf: dataset: modify variable initialization according to input_size type change
• common: predict: reflect input_size type change
• common: media: reflect input_size type change to resize_image
• tf:dataset: reflect input_size type change to data augmentation
• common: base_class: reflect predict.fit_pred_bboxes_to_original change
• common: predict: fix problem that occurred because image size change was not considered
• tf: reflect input_size type change
• model: head: reflect input_size type change
• tf: train: reflect input_size type change
• common: base_class: change strides to immutable constant
• common: base_class: add cap.release() to release resources
• tflite: reflect input_size type change
• 🌟tf: optimize predict() using @tf.function🌟
• 🌟common: predict: fix problem caused by incorrect iou calculation🌟

yolov4 v1.2.1

CHANGELOG

• tf: set num_sample to the number of dataset, if not specified
• tf: modify to bring images in order on post-training
• common: base_class: add iou/score_threshold argument
• tf: add images_optional argument in save_dataset_for_mAP()
• common: base_class: modify to call cv2.namedWindow once
• common: media: modify to create colors once
• tf: dataset: update docs