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* convert2markdown * update yaml2mardown code * code update * add parse_args * add parse_args * add parse_args * add parse_args * add website list * add website list * add website list * add website list * add website list * add website list * add website list * add url in yaml * add table in convert * add table in convert * From yaml export markdown * From yaml export markdown * From yaml export markdown * From yaml export markdown * From yaml export markdown * From yaml export markdown * Rename convert.py to generate_md_table.py generate_markdownd_table * docs(project): sync en and zh docs * docs(project): sync en and zh docs * docs(project): sync en and zh docs * docs(project): sync en and zh docs * docs(project): sync en and zh docs * docs(project): sync en and zh docs * docs(project): sync en and zh docs * Update mmaction.yml * add backends parser * add backends parser * Add type for the codeblock. * move to useful tools
58 lines
1.9 KiB
YAML
58 lines
1.9 KiB
YAML
globals:
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repo_url: https://github.com/open-mmlab/mmaction2/tree/master
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codebase_dir: ../mmaction2
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checkpoint_force_download: False
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images:
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video: &video ../mmaction2/demo/demo.mp4
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metric_info: &metric_info
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Top 1 Accuracy:
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eval_name: top_k_accuracy
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metric_key: top1_acc
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tolerance: 1
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multi_value: 100
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Top 5 Accuracy:
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eval_name: top_k_accuracy
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metric_key: top5_acc
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tolerance: 1
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multi_value: 100
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convert_image: &convert_image
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input_img: *video
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test_img: *video
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backend_test: &default_backend_test True
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sdk:
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sdk_dynamic: &sdk_dynamic configs/mmaction/video-recognition/video-recognition_sdk.py
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onnxruntime:
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pipeline_ort_static_fp32: &pipeline_ort_static_fp32
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convert_image: *convert_image
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deploy_config: configs/mmaction/video-recognition/video-recognition_onnxruntime_static.py
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backend_test: *default_backend_test
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tensorrt:
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pipeline_trt_2d_static_fp32: &pipeline_trt_2d_static_fp32
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convert_image: *convert_image
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deploy_config: configs/mmaction/video-recognition/video-recognition_2d_tensorrt_static-224x224.py
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backend_test: *default_backend_test
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pipeline_trt_3d_static_fp32: &pipeline_trt_3d_static_fp32
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convert_image: *convert_image
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deploy_config: configs/mmaction/video-recognition/video-recognition_3d_tensorrt_static-256x256.py
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backend_test: *default_backend_test
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models:
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- name: TSN
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metafile: configs/recognition/tsn/metafile.yml
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model_configs:
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- configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb.py
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pipelines:
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- *pipeline_ort_static_fp32
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- *pipeline_trt_2d_static_fp32
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- name: SlowFast
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metafile: configs/recognition/slowfast/metafile.yml
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model_configs:
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- configs/recognition/slowfast/slowfast_r50_video_4x16x1_256e_kinetics400_rgb.py
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pipelines:
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- *pipeline_ort_static_fp32
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- *pipeline_trt_3d_static_fp32
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