Adhikary, Dhruba commited on
Commit
592721a
1 Parent(s): bd98368

push changes to hugging face

Browse files
__pycache__/config.cpython-310.pyc ADDED
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__pycache__/model.cpython-310.pyc ADDED
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__pycache__/utils.cpython-310.pyc ADDED
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app.py CHANGED
@@ -14,9 +14,11 @@ import os
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  import matplotlib.pyplot as plt
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  from utils import *
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  model = YOLOv3(num_classes=config.NUM_CLASSES).to(config.DEVICE)
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- model.load_state_dict(torch.load("custom_yolo_v3.pt", map_location=torch.device('cpu')), strict=False)
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  IMAGE_SIZE = config.IMAGE_SIZE
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  test_transforms = A.Compose(
@@ -78,7 +80,7 @@ demo = gr.Interface(
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  gr.Slider(0, 1, value = 0.75, label="Threshold"),
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  gr.Slider(0, 1, value = 0.75, label="IoU Threshold"),
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  gr.Slider(0, 1, value = 0.8, label="Opacity of GradCAM")],
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- outputs = [gr.Image(label="Output").scale(width=600, height=600)],
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  title = title,
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  description = description,
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  examples = examples,
 
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  import matplotlib.pyplot as plt
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  from utils import *
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+ checkpoint_filename = "object_detection_app/custom_yolo_v3.pt"
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+ relative_path = os.path.join(os.getcwd(),"hugging_space_app", checkpoint_filename)
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  model = YOLOv3(num_classes=config.NUM_CLASSES).to(config.DEVICE)
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+ model.load_state_dict(torch.load(relative_path, map_location=torch.device('cpu')), strict=False)
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  IMAGE_SIZE = config.IMAGE_SIZE
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  test_transforms = A.Compose(
 
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  gr.Slider(0, 1, value = 0.75, label="Threshold"),
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  gr.Slider(0, 1, value = 0.75, label="IoU Threshold"),
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  gr.Slider(0, 1, value = 0.8, label="Opacity of GradCAM")],
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+ outputs = [gr.Image(width=600, height=600,label="Output")],
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  title = title,
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  description = description,
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  examples = examples,