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Translate Lecture 15 (draft) #23
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visionNoob
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#23: deleted dataloader_sample.py
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1. move detection_collate function utils.py to dataloader.py 2. class selective option in convert2Yolo/Format.py
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1. dataloader_small.py 2. dataloader_test.py 3. numpy_test.py
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1. transformed torch Tensor convert to PIL Image in visualization_GT fucntion from utils.py 2. Draw method change in visualization_GT function fromm utils.py 3. get list from class_path for visualization_GT function in tran_small.py 4. add argparse parameter --use_gtcheck for supereasy in train_mall.py
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1. torch tensor type change to TorchFloat.cuda() in one_hot function from utils.py 2. stacking objectness class map for matching tensor dimension in detection_loss_4_small_yolo from yolov1_small.py
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1. train_small.py -> train.py 2. yolov1_small.py -> yolov1 3. SmallYOLOv1 Class -> YOLOv1 class from yolov1.py 4. detection_loss_4_small_yolo -> detection_loss_4_yolo function from yolov1.py
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