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Update app.py
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app.py
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# Built from https://huggingface.co/spaces/hlydecker/MegaDetector_v5
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# Built from https://huggingface.co/spaces/sofmi/MegaDetector_DLClive/blob/main/app.py
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# Built from https://huggingface.co/spaces/Neslihan/megadetector_dlcmodels/blob/main/app.py
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import os
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import yaml
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import numpy as np
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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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# directly from huggingface
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model = gr.Interface.load("mwmathis/DeepLabCutModelZoo-SuperAnimal-Quadruped",
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model.launch()
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import os
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import yaml
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import numpy as np
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import gradio as gr
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import deeplabcut
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import dlclib
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import transformers
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from PIL import Image, ImageColor, ImageFont, ImageDraw
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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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# Load the model
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model = transformers.AutoModel.from_pretrained("mwmathis/DeepLabCutModelZoo-SuperAnimal-Quadruped")
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# Create an instance of the model
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inference_api = transformers.InferenceAPI(model)
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# Make a prediction with the model
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prediction = inference_api.predict(inputs=["This is a sample input."])
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# Print the prediction
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print(prediction)
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