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Fix retinanet wrong visualization with torch1.13+openvino (#1977)

Browse Source 
* fix

* fix ci

* fix dead links
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RunningLeon 2023-04-12 11:55:03 +08:00 committed by GitHub
parent 4bb9bc738c
commit 58bcdaea77
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10 changed files with 24 additions and 23 deletions
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4
.circleci/test.yml
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@ -85,7 +85,7 @@ commands:
cd mmdeploy
python -m mim install -r requirements/codebases.txt
python -m pip install -r requirements.txt
python -m pip install -U numpy clip numba
python -m pip install -U numpy clip numba transformers
cd ..
perform_model_converter_ut:
steps:
@ -145,7 +145,7 @@ jobs:
docker exec mmdeploy pip install onnxruntime==1.8.1
docker exec mmdeploy mim install -r mmdeploy/requirements/codebases.txt
docker exec mmdeploy pip install -r mmdeploy/requirements.txt
docker exec mmdeploy pip install -U numpy clip numba
docker exec mmdeploy pip install -U numpy clip numba transformers
- run:
name: Perform Model Converter unittests
command: |

2
.github/workflows/backend-ort.yml vendored
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@ -17,7 +17,7 @@ concurrency:
cancel-in-progress: true
jobs:
buils_ort:
build_ort:
runs-on: ubuntu-20.04
strategy:
matrix:

8
.github/workflows/build.yml vendored
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@ -49,7 +49,7 @@ jobs:
python -m pip install -r requirements/backends.txt
python -m mim install "mmcv>=2.0.0rc1"
python -m mim install -r requirements/codebases.txt
python -m pip install -U numpy clip numba
python -m pip install -U numpy clip numba transformers
python -m pip list
- name: Install mmyolo
run: |
@ -149,7 +149,7 @@ jobs:
python -m pip install -r requirements/backends.txt
python -m mim install "mmcv>=2.0.0rc1"
CFLAGS=$CFLAGS python -m mim install -r requirements/codebases.txt
python -m pip install -U pycuda numpy clip numba
python -m pip install -U pycuda numpy clip numba transformers
python -m pip list
- name: Build and install
run: |
@ -194,7 +194,7 @@ jobs:
python -m pip install -r requirements/backends.txt
python -m mim install "mmcv>=2.0.0rc1"
python -m mim install -r requirements/codebases.txt
python -m pip install -U pycuda numpy clip numba
python -m pip install -U pycuda numpy clip numba transformers
python -m pip list
- name: Build and install
run: |
@ -232,7 +232,7 @@ jobs:
apt update && apt install unzip
python3 -V
python3 -m pip install opencv-python==4.5.4.60 opencv-python-headless==4.5.4.60 opencv-contrib-python==4.5.4.60
python3 -m pip install openmim numpy pycuda clip
python3 -m pip install openmim numpy pycuda clip transformers
python3 -m pip install -r requirements.txt
python3 -m mim install $(cat requirements/codebases.txt | grep mmcls)
python3 -m pip list

10
docs/en/04-supported-codebases/mmaction2.md
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@ -21,7 +21,7 @@ ______________________________________________________________________
### Install mmaction2
Please follow the [installation guide](https://github.com/open-mmlab/mmaction2/tree/1.x#installation) to install mmaction2.
Please follow the [installation guide](https://github.com/open-mmlab/mmaction2/tree/main#installation) to install mmaction2.
### Install mmdeploy
@ -184,7 +184,7 @@ Besides python API, mmdeploy SDK also provides other FFI (Foreign Function Inter
## Supported models
| Model | TorchScript | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO |
| :---------------------------------------------------------------------------------------- | :---------: | :----------: | :------: | :--: | :---: | :------: |
| [TSN](https://github.com/open-mmlab/mmaction2/tree/1.x/configs/recognition/tsn) | N | Y | Y | N | N | N |
| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/1.x/configs/recognition/slowfast) | N | Y | Y | N | N | N |
| Model | TorchScript | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO |
| :----------------------------------------------------------------------------------------- | :---------: | :----------: | :------: | :--: | :---: | :------: |
| [TSN](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsn) | N | Y | Y | N | N | N |
| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/slowfast) | N | Y | Y | N | N | N |

2
docs/en/04-supported-codebases/mmocr.md
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@ -24,7 +24,7 @@ ______________________________________________________________________
### Install mmocr
Please follow the [installation guide](https://mmocr.readthedocs.io/en/latest/install.html) to install mmocr.
Please follow the [installation guide](https://mmocr.readthedocs.io/en/latest/get_started/install.html) to install mmocr.
### Install mmdeploy

2
docs/en/07-developer-guide/architecture.md
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@ -93,7 +93,7 @@ Operators customized for ncnn are in the `csrc/mmdeploy/backend_ops/ncnn/` direc
- topk
- tensorslice
- shpe
- shape
- gather
- expand
- constantofshape

10
docs/zh_cn/04-supported-codebases/mmaction2.md
View File

@ -21,7 +21,7 @@ ______________________________________________________________________
### 安装 mmaction2
请参考[官网安装指南](https://github.com/open-mmlab/mmaction2/tree/1.x#installation).
请参考[官网安装指南](https://github.com/open-mmlab/mmaction2/tree/main#installation).
### 安装 mmdeploy
@ -187,7 +187,7 @@ for label_id, score in result:
## 模型支持列表
| Model | TorchScript | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO |
| :---------------------------------------------------------------------------------------- | :---------: | :----------: | :------: | :--: | :---: | :------: |
| [TSN](https://github.com/open-mmlab/mmaction2/tree/1.x/configs/recognition/tsn) | N | Y | Y | N | N | N |
| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/1.x/configs/recognition/slowfast) | N | Y | Y | N | N | N |
| Model | TorchScript | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO |
| :----------------------------------------------------------------------------------------- | :---------: | :----------: | :------: | :--: | :---: | :------: |
| [TSN](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsn) | N | Y | Y | N | N | N |
| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/slowfast) | N | Y | Y | N | N | N |

2
docs/zh_cn/04-supported-codebases/mmocr.md
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@ -24,7 +24,7 @@ ______________________________________________________________________
### 安装 mmocr
请参考[官网安装指南](https://mmocr.readthedocs.io/en/latest/install.html).
请参考[官网安装指南](https://mmocr.readthedocs.io/en/latest/get_started/install.html).
### 安装 mmdeploy

2
docs/zh_cn/07-developer-guide/architecture.md
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@ -93,7 +93,7 @@ $ tree -L 1
- topk
- tensorslice
- shpe
- shape
- gather
- expand
- constantofshape

5
mmdeploy/codebase/mmdet/models/task_modules/coders/delta_xywh_bbox_coder.py
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@ -101,8 +101,9 @@ def delta2bbox(rois,
dxy = denorm_deltas[..., :2]
dwh = denorm_deltas[..., 2:]
xy1 = rois[..., None, :2]
xy2 = rois[..., None, 2:]
# fix openvino on torch1.13
xy1 = rois[..., :2].unsqueeze(2)
xy2 = rois[..., 2:].unsqueeze(2)
pxy = (xy1 + xy2) * 0.5
pwh = xy2 - xy1