mmdeploy
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OpenMMLab Model Deployment Framework
Thanks for your bug report. We appreciate it a lot. **Checklist** 1. I have searched related issues but cannot get the expected help. 2. I have read the [FAQ documentation](https://github.com/open-mmlab/mmdeploy/blob/master/docs/en/faq.md)...
Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily receiving feedbacks. If you do not understand...
Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily receiving feedbacks. If you do not understand...
## Motivation add global rewriting for `adaptive_avg_pool` and ease the exporting to onnx for models such as pspnet, litehrnet. ## Modification - Add `adaptive_avg_pool2d__default` rewriting in `mmdeploy/pytorch/functions/adaptive_pool.py` - Remove some...
## Motivation Use Elena to fuse transform. ## Use cases (Optional) 1. build third_party/elena-mmdeploy 2. use tools/elena/extract_transform.py to generate transform code https://wtools.io/paste-code/bDvu https://wtools.io/paste-code/bDvv 3. build mmdeploy with generated code by...
## Motivation Support `batch_size > 1` for `tools/profile.py`, requested in issue #861 . ## Modification - update `create_input` for batch images in mmcls, mmdet, mmpose, mmseg, mmocr, mmrotate. - update...
When I convert .pth to .engine model on the windows10 system. It successfully converted .onnx, but failed trt ,with an error occured as "Error Code 2: Internal Error (Assertion cublasStatus...
command: python tools/deploy.py configs/mmdet/detection/detection_tensorrt_dynamic-320x320-1344x1344.py mmcode/config/yolov3_d53_mstrain-608_273e_coco.py mmcode/checkpoints/yolov3_d53_fp16_mstrain-608_273e_coco.pth mmcode/demo/demo.jpg --device cuda:0 **********Environmental information********** 2022-08-05 16:26:17,800 - mmdeploy - INFO - sys.platform: linux 2022-08-05 16:26:17,801 - mmdeploy - INFO - Python: 3.7.13 (default,...
Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily receiving feedbacks. If you do not understand...