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Update app.py
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app.py
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@@ -7,12 +7,15 @@ import yaml
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import numpy as np
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from matplotlib import cm
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import gradio as gr
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from PIL import Image, ImageColor, ImageFont, ImageDraw
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# check git lfs pull!!
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from DLC_models.download_utils import DownloadModel
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from dlclive import DLCLive, Processor
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from viz_utils import save_results_as_json, draw_keypoints_on_image, draw_bbox_w_text, save_results_only_dlc
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from detection_utils import predict_md, crop_animal_detections, predict_dlc
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from ui_utils import gradio_inputs_for_MD_DLC, gradio_outputs_for_MD_DLC, gradio_description_and_examples
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@@ -25,8 +28,8 @@ MD_models_dict = {'md_v5a': "MD_models/md_v5a.0.0.pt", #
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'md_v5b': "MD_models/md_v5b.0.0.pt"}
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# DLC models target dirs
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DLC_models_dict = {'supernanimal_quadruped': "DLC_models/
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'supernanimal_topviewmouse': "DLC_models/
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}
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def predict_pipeline(img_input,
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import numpy as np
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from matplotlib import cm
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import gradio as gr
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import deeplabcut
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import dlclib
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from PIL import Image, ImageColor, ImageFont, ImageDraw
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# check git lfs pull!!
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from DLC_models.download_utils import DownloadModel
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from dlclive import DLCLive, Processor
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from viz_utils import save_results_as_json, draw_keypoints_on_image, draw_bbox_w_text, save_results_only_dlc
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from detection_utils import predict_md, crop_animal_detections, predict_dlc
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from ui_utils import gradio_inputs_for_MD_DLC, gradio_outputs_for_MD_DLC, gradio_description_and_examples
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'md_v5b': "MD_models/md_v5b.0.0.pt"}
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# DLC models target dirs
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DLC_models_dict = {'supernanimal_quadruped': "DLC_models/supernanimal_quadruped/",
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'supernanimal_topviewmouse': "DLC_models/supernanimal_topviewmouse/"
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}
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def predict_pipeline(img_input,
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