deep-learning-for-image-processing
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deep learning for image processing including classification and object-detection etc.
博主您好,我在用MobileNetv2作为backbone训练Faster RCNN之后,进行Validation时,加载训练好的mobile-model-24.pth会报错。 Traceback (most recent call last): File "validation.py", line 215, in main(args) File "validation.py", line 140, in main model.load_state_dict(weights_dict,strict=False) File "/root/miniconda3/envs/pytorch1.12/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1604, in load_state_dict raise RuntimeError('Error(s) in loading...
if isinstance(catId, int): s = s[:, :, catId, aind, mind] else: s = s[:, :, :, aind, mind] 在用 Faster R-CNN 代码中的validation.py文件时报错,之前用的时候没问题,不清楚为什么会出现这个问题
如何在训练过程中打印出P值或用权重预测的时候打印P值
跑up的模型之后C盘爆满怎么解决
Traceback (most recent call last): File "e:\fitting\faster_rcnn\validation.py", line 214, in main(args) File "e:\fitting\faster_rcnn\validation.py", line 174, in main stats, _ = summarize(coco_eval, catId=i) File "e:\fitting\faster_rcnn\validation.py", line 71, in summarize stats[0], print_list[0]...
Traceback (most recent call last): File "F:\yolov8_change\deep-learning-for-image-processing-master\pytorch_object_detection\ssd\predict_test.py", line 98, in main() File "F:\yolov8_change\deep-learning-for-image-processing-master\pytorch_object_detection\ssd\predict_test.py", line 40, in main model.load_state_dict(weights_dict,strict=False) File "F:\DL\anaconda\anaconda3\Lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for...
请问,为什么hrnet原论文中map的值是73.4,但是本项目介绍中说map是76.1呢
parser.add_argument('--weights', type=str, default='./vit_base_patch16_224.pth', help='initial weights path') model = create_model(num_classes=args.num_classes, has_logits=True).to(device) 把False改成了Ture就出现了这个警告
$ tree data imagenet ├── train │ ├── class1 │ │ ├── img1.jpeg │ │ ├── img2.jpeg │ │ └── ... │ ├── class2 │ │ ├── img3.jpeg │ │...
在运行mobileNetv2和rpn+Res50时都会报错,报错信息如下:  