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update doc about codebase deployment #1051
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Before moving on to model inference chapter, let us talk more about the converted model structure which is very important to do model inference. | ||
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The converted model locates in the working directory like `mmdeploy_models/mmdet/ort` in the previous example. It includes: |
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It includes: -> The output directory contains four files shown as below
Suggest using picture links rather than PNG images to reduce the size of the repo. |
Those images are used as input images when converting pytorch models |
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I think the part of MMEditing is ready for merging.
* update doc about mmclassfication deployment * update install mmdeploy part * correct mmcls deployment commands * reformat supported models * add deployed model specification * update doc about mmdetection deployment * fix according to reviewer comments * fix according to reviewer comments * fix according to reviewer comments * fix according to reviewer comments * fix according to reviewer comments * fix according to reviewer comments * update doc about mmsegmentation deployment * update doc about mmocr deployment * check in cityscapes.png as an input image for converting mmsegmentation model * update mmocr deployment * update mmseg.md * update mmseg.md * update mmocr.md * update sdk model inference for mmocr deployment * update according to reviewer comments * update * update * update mmedit * update mmpose deployment * check in face.png for mmedit deployment * update * fix according to reviewer comments * remove duplicate doc * update docs in english * update codebase documents in chinese * fix according to reviewerss comments * update according reviewer comments * ObjectDetection -> Object Detection * InstanceSegmentation -> Instance Segmentation
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Motivation
In OpenMMLab 2.0, codebases remove model deployment tools and request mmdeploy to provide a guideline instead.
Modification
Depends on
#1052