Loonloon
Loonloon
@zhyj3038 I can get the mAP with YOLO2, but multi-scale trianing and training with own dataset are need to be finished!
(1) **addpath CM_Curve** in zzd_evaluation_res_faster.m is not need since that there are no dir of CM_Curve in your project? (2) the name of function in train_id_net_res_market_align.m should be **train_id_net_res_market_align**, and...
Why resize the images to 256 * 256 instead of 224 * 224, and the input size of ResNet-50 is 224*224?
The network can be visulized with the web tool http://ethereon.github.io/netscope/ And the model can be converted to caffemodel? https://github.com/marvis/pytorch-caffe-darknet-convert
Why the name of the image in market1501 is *.jpg.jpg as follows ? It is the wrong or the trick ? 
It is only a bug for the market1501 dataset, and these images are the original images in the official dataset market1501. I think your team will fix it in future.
@LdDl @AlexeyAB It is a very good new that the darknet will support the training and inference of YOLOV7.
Image-Captioning using InceptionV3 and Beam Search https://github.com/yashk2810/Image-Captioning
已经有了 @wwxJream 你测试过这个工程的mAP吗？
So python-sgx can not be built and installed successfully, I hope you can fix the problem in the project， and the latest graphene contains the compatible sgx driver. I think...