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noreenanwar
Symbadian
glenn-jocher
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Question
Hi All,
I am new to the object detection and would like to learn my errors in my developmental stages,
Forgive my lack of ignorance but I keep getting this error when I try visualizing the new classes that were added in the training when running the validation script as per your direction python val.py --verbose.
None of the new classes are being shown in the validation verbose stage only the 80 classes per the original dataset. Based on all of the examples provided, I followed such to the best of my knowledge and I cannot seem to get this understanding.
Can you help me analyze this, please? I modified all configurations based on my knowledge but this keeps on popping up, please help!! and I am not sure what this means no matter how much I google??!!??!?
` (base) Symbadian-MacBook-Pro:yolov5 symbadian$ python3 val.py --verbose val: data=data/coco128.yaml, weights=yolov5s.pt, batch_size=32, imgsz=640, conf_thres=0.001, iou_thres=0.6, task=val, device=, workers=8, single_cls=False, augment=False, verbose=True, save_txt=False, save_hybrid=False, save_conf=False, save_json=False, project=runs/val, name=exp, exist_ok=False, half=False, dnn=False YOLOv5 🚀 2022-5-7 torch 1.11.0 CPU
Fusing layers... YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients This is data in the val.py file {'path': '../datasets/coco128', 'train': ['/Users/symbadian/Desktop/LIRIS_new_dataset/datasets/coco128/images/train', '/Users/symbadian/Desktop/LIRIS_new_dataset/datasets/coco128/images/train2017'], 'val': ['/Users/symbadian/Desktop/LIRIS_new_dataset/datasets/coco128/images/val', '/Users/symbadian/Desktop/LIRIS_new_dataset/datasets/coco128/images/train2017'], 'test': None, 'nc': 106, 'names': ['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', 'Beating', 'CuttingInKitchen', 'Discus_Amgst_ppl', 'Discuss_Wr_OnBrd', 'DiscusW_Give_Item', 'Enter_Room', 'Fencing', 'Fighting', 'Gun_wp_Deploy', 'Hand_Shake', 'Knife_Deploy', 'Leaves_Room', 'Make_Answer_Tel', 'Nunchucks', 'Pick_Up_Object', 'Put_Down_Object', 'Put_Item_In_Draw', 'Reading', 'Shooting', 'Stabbing', 'SumoWrestling', 'Typing_On_KeyBrd', 'Unlock_Dr_Leaves', 'Unlock_Rm_Enters', 'Unlock_Rm_Unsucc', 'Walking']} This is nc from val.py file 106 This is ncm from val.py file 80 Traceback (most recent call last): File "/Users/symbadian/Desktop/LIRIS_new_dataset/yolov5/val.py", line 399, in main(opt) File "/Users/symbadian/Desktop/LIRIS_new_dataset/yolov5/val.py", line 372, in main run(*vars(opt)) File "/Users/symbadian/miniforge3/lib/python3.9/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(args, **kwargs) File "/Users/symbadian/Desktop/LIR
IS_new_dataset/yolov5/val.py", line 170, in run
assert ncm == nc, f'{weights[0]} ({ncm} classes) trained on different --data than what you passed ({nc} '
TypeError: 'PosixPath' object is not subscriptable
`
Additional
My progress is challenging as my knowledge in the area of object detection is limited as a newbie, but my determination to learn is strong. Thank you in advance for acknowledging my digital presence and I am indeed grateful for your guidance!!