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deep learning for image processing including classification and object-detection etc.

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图像分类: - [x] RepVGG - [x] ConvNeXt 目标检测: - [x] 补上YOLOv4网络讲解 - [x] 补上YOLOv5网络讲解(没有论文) - [x] 补上YOLOX网络讲解 - [x] 补上Faster RCNN换backbone视频 - [x] FCOS 模型讲解 语义分割: - [x] DeepLab V3...

enhancement

# 训练的结果: ![image](https://user-images.githubusercontent.com/91278105/183301135-33894f23-f98c-441c-8fe3-519cdad92ece.png) # 权重文件: ![image](https://user-images.githubusercontent.com/91278105/183301120-da950c04-6746-453a-a708-bd9b85ff78ab.png) # 运行预测文件报错: ![image](https://user-images.githubusercontent.com/91278105/183301171-e791863c-3b5b-4c64-b0b3-bb08070d7c12.png)

采用您的代码,在初始化的时候,设置2块GPU可见,没问题。当我设置4块时,就会卡在 dist.barrier()。 这是什么问题?

Test results: https://github.com/cclauss/deep-learning-for-image-processing/actions

Traceback (most recent call last): File "train.py", line 124, in main(opt) File "train.py", line 87, in main train_loss, train_acc = train_one_epoch(model=model, File "F:\ImageClassification\EmotionClassification\utils.py", line 142, in train_one_epoch accu_num += torch.eq(pred_classes,...

Traceback (most recent call last): File "D:\software\Python\project\faster_rcnn\predict-dianchi.py", line 152, in main() File "D:\software\Python\project\faster_rcnn\predict-dianchi.py", line 103, in main plot_img = draw_objs(original_img, File "D:\software\Python\project\faster_rcnn\draw_box_utils.py", line 146, in draw_objs draw.line([(left, top), (left, bottom),...

**System information** * Have I written custom code: * OS Platform(e.g., window10 or Linux Ubuntu 16.04): * Python version: * Deep learning framework and version(e.g., Tensorflow2.1 or Pytorch1.3): * Use...

**System information** * Have I written custom code:Yes * OS Platform(e.g., window10 or Linux Ubuntu 16.04):window10 * Python version:3.7 * Deep learning framework and version(e.g., Tensorflow2.1 or Pytorch1.3):Pytorch2.1.0+cu121(Colab) * Use...