yolov7
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WongKinYiu
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
What's the difference model.fuse() and reparameterization of below link? https://github.com/WongKinYiu/yolov7/blob/main/tools/reparameterization.ipynb
For pose keypoint detection, is there any plan to update the training test code?
According to your requirements, I used train_AUX for training, but the result showed an error.What have I not changed. I hope to get your help 
Hi. I'm trying to train the w6 model and consistently run out of memory, even with a batch size of 1. I'm running 16GB RAM v100s, so I figure I...
Traceback (most recent call last): File "/root/autodl-tmp/yolov7-main/train.py", line 611, in train(hyp, opt, device, tb_writer) File "/root/autodl-tmp/yolov7-main/train.py", line 362, in train loss, loss_items = compute_loss_ota(pred, targets.to(device), imgs) # loss scaled by...
My system specs are the following: OS: Ubuntu 20.04.4 LTS GPU: Nvidia GTX 1080 with 8GB RAM CPU: Core I5 11500 RAM: 32 GB DDR4 I have **successfully** followed all...
I added your repo as a submodule in mine. However, when running `attempt_load` from a folder above ```bash . ├── yolov7/ ├── track.py # this calls the functionality in yolov7/...
I am evaluating the performance on different image ( people crowd ), the detection abilities on people are significatly lower than v3, as an example this image ( using web...
I'm tryinig to submit my zip file on codalab ,then it show that WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited...
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Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors