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7月份计划上线的360全景图生成模型，自研 模型权重文件地址https://www.modelscope.cn/models/damo/cv_diffusion_text-to-360panorama-image_generation/summary #### 依赖项说明 ##### 由于要使用xformers，torch版本最好使用1.13.1 ``` pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116 ``` ##### 对应的diffusers和xformers版本如下 ``` pip install -U diffusers==0.18.0 pip install xformers==0.0.16 pip install triton, accelerate, transformers ``` ##### ModelScope Library 需要使用cv ``` pip install modelscope pip install "modelscope[cv]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html ``` ##### 此外，还需要安装第三方的一个库，Real-ESRGAN， 安装方法如下 ``` # Install basicsr - https://github.com/xinntao/BasicSR # We use BasicSR for both training and inference pip install basicsr # facexlib and gfpgan are for face enhancement pip install facexlib pip install gfpgan pip install Pillow pip install tqdm pip install realesrgan==0.3.0 ``` Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13346430 * add text-to-360pano-image pipeline * add text-to-360pano-image pipeline, mod cv requirements * rm redundant files and cv requirements; add standard input and output definations * fix diffusers==0.18.0 and run test * fix diffusers==0.18.0 in multi-modal and run test again * add model_revision='v1.0.0' * fix yapf * add trycatch for enabling xformers * fix key error * add install xformers in test/setup * skip highres.fix in ci * feat: Fix conflict, auto commit by WebIDE
81 lines
2.8 KiB
YAML
81 lines
2.8 KiB
YAML
# isolate cases in env, we can install different dependencies in each env.
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isolated: # test cases that may require excessive anmount of GPU memory or run long time, which will be executed in dedicagted process.
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- test_text_to_speech.py
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- test_multi_modal_embedding.py
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- test_ofa_tasks.py
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- test_video_summarization.py
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- test_dialog_modeling.py
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- test_csanmt_translation.py
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- test_image_super_resolution.py
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- test_easycv_trainer.py
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- test_segformer.py
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- test_segmentation_pipeline.py
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- test_movie_scene_segmentation.py
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- test_image_inpainting.py
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- test_image_paint_by_example.py
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- test_mglm_text_summarization.py
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- test_team_transfer_trainer.py
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- test_image_denoise_trainer.py
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- test_dialog_intent_trainer.py
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- test_finetune_mplug.py
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- test_image_instance_segmentation_trainer.py
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- test_image_portrait_enhancement_trainer.py
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- test_translation_trainer.py
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- test_translation_evaluation_trainer.py
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- test_unifold.py
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- test_automatic_post_editing.py
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- test_mplug_tasks.py
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- test_movie_scene_segmentation.py
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- test_body_3d_keypoints.py
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- test_finetune_text_generation.py
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- test_clip_trainer.py
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- test_ofa_trainer.py
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- test_fill_mask.py
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- test_hand_2d_keypoints.py
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- test_referring_video_object_segmentation.py
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- test_easycv_trainer_hand_2d_keypoints.py
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- test_card_detection_scrfd_trainer.py
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- test_referring_video_object_segmentation_trainer.py
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- test_person_image_cartoon.py
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- test_image_style_transfer.py
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- test_ocr_detection.py
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- test_automatic_speech_recognition.py
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- test_image_matting.py
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- test_skin_retouching.py
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- test_table_recognition.py
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- test_conversational_text_to_sql.py
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- test_video_multi_modal_embedding.py
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- test_image_skychange.py
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- test_video_stabilization.py
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- test_video_super_resolution.py
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- test_kws_nearfield_trainer.py
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- test_gpt3_text_generation.py
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- test_ddcolor_image_colorization.py
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- test_video_colorization.py
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- test_image_defrcn_fewshot_trainer.py
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- test_image_deblur_trainer.py
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- test_image_quality_assessment_degradation.py
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- test_image_quality_assessment_mos.py
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- test_image_restoration.py
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- test_video_deinterlace.py
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- test_image_inpainting_sdv2.py
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- test_bad_image_detecting.py
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- test_controllable_image_generation.py
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- test_image_colorization_trainer.py
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- test_text_to_360panorama_image.py
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envs:
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default: # default env, case not in other env will in default, pytorch.
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dependencies: # requirement packages，pip install before test case run.
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- numpy>=1.20,<=1.22.0
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- protobuf<4,>=3.20.2
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tensorflow1x: # cases excuted tensorflow1.x framework.
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requirements: # requirements files run before test case run.
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- tensorflow1x.txt
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dependencies: # requirement packages，pip install before test case run.
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- numpy<1.20.0
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tests:
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- test_image_portrait_stylization_trainer.py
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