deep-learning-for-image-processing
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deep learning for image processing including classification and object-detection etc.
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...
# 训练的结果:  # 权重文件:  # 运行预测文件报错: 
分布式初始化问题
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,...
我看现在好像是随机的
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...