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Update app.py
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app.py
CHANGED
@@ -18,6 +18,7 @@ from model.CBAM.reunet_cbam import reunet_cbam
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from model.transform import transforms
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from model.unet import UNET
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from Utils.area import pixel_to_sqft, process_and_overlay_image
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from Utils.convert import read_pansharpened_rgb
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# Initialize Hugging Face API
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@@ -34,7 +35,7 @@ REPO_ID = "Pavan2k4/Building_area"
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REPO_TYPE = "space"
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# Define base directory for Hugging Face Spaces
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BASE_DIR = "
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# Define subdirectories
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UPLOAD_DIR = os.path.join(BASE_DIR, "uploaded_images")
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@@ -43,48 +44,6 @@ PATCHES_DIR = os.path.join(BASE_DIR, "patches")
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PRED_PATCHES_DIR = os.path.join(BASE_DIR, "pred_patches")
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CSV_LOG_PATH = os.path.join(BASE_DIR, "image_log.csv")
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def split(image, destination=PATCHES_DIR, patch_size=650):
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img = cv2.imread(image)
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h, w, _ = img.shape
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for y in range(0, h, patch_size):
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for x in range(0, w, patch_size):
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patch = img[y:y+patch_size, x:x+patch_size]
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patch_filename = f"patch_{y}_{x}.png"
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patch_path = os.path.join(destination, patch_filename)
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cv2.imwrite(patch_path, patch)
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def merge(patch_folder, dest_image='out.png', image_shape=None):
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merged = np.zeros(image_shape[:-1] + (3,), dtype=np.uint8)
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for filename in os.listdir(patch_folder):
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if filename.endswith(".png"):
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patch_path = os.path.join(patch_folder, filename)
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patch = cv2.imread(patch_path)
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patch_height, patch_width, _ = patch.shape
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# Extract patch coordinates from filename
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parts = filename.split("_")
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x, y = None, None
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for part in parts:
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if part.endswith(".png"):
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x = int(part.split(".")[0])
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elif part.isdigit():
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y = int(part)
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if x is None or y is None:
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raise ValueError(f"Invalid filename: {filename}")
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# Check if patch fits within image boundaries
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if x + patch_width > image_shape[1] or y + patch_height > image_shape[0]:
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# Adjust patch position to fit within image boundaries
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if x + patch_width > image_shape[1]:
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x = image_shape[1] - patch_width
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if y + patch_height > image_shape[0]:
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y = image_shape[0] - patch_height
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# Merge patch into the main image
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merged[y:y+patch_height, x:x+patch_width, :] = patch
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cv2.imwrite(dest_image, merged)
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# Create directories
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for directory in [UPLOAD_DIR, MASK_DIR, PATCHES_DIR, PRED_PATCHES_DIR]:
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os.makedirs(directory, exist_ok=True)
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@@ -230,10 +189,10 @@ def upload_page():
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# Clean up temporary patch files
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st.info('Cleaning up temporary files...')
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st.success('Temporary files cleaned up')
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else:
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# Predict on whole image
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@@ -320,10 +279,8 @@ def result_page():
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st.error("Image or mask file not found for overlay.")
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if st.button('Back to Upload'):
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for file in os.listdir(PRED_PATCHES_DIR):
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os.remove(os.path.join(PRED_PATCHES_DIR, file))
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st.session_state.page = 'upload'
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st.session_state.file_uploaded = False
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st.session_state.filename = None
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@@ -339,4 +296,7 @@ def main():
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if st.session_state.page == 'upload':
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upload_page()
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elif st.session_state.page == 'result':
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result_page()
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from model.transform import transforms
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from model.unet import UNET
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from Utils.area import pixel_to_sqft, process_and_overlay_image
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from split_merge import split, merge
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from Utils.convert import read_pansharpened_rgb
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# Initialize Hugging Face API
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REPO_TYPE = "space"
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# Define base directory for Hugging Face Spaces
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BASE_DIR = "/home/user"
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# Define subdirectories
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UPLOAD_DIR = os.path.join(BASE_DIR, "uploaded_images")
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PRED_PATCHES_DIR = os.path.join(BASE_DIR, "pred_patches")
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CSV_LOG_PATH = os.path.join(BASE_DIR, "image_log.csv")
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# Create directories
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for directory in [UPLOAD_DIR, MASK_DIR, PATCHES_DIR, PRED_PATCHES_DIR]:
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os.makedirs(directory, exist_ok=True)
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# Clean up temporary patch files
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st.info('Cleaning up temporary files...')
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shutil.rmtree(PATCHES_DIR)
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shutil.rmtree(PRED_PATCHES_DIR)
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os.makedirs(PATCHES_DIR) # Recreate empty folders
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os.makedirs(PRED_PATCHES_DIR)
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st.success('Temporary files cleaned up')
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else:
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# Predict on whole image
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st.error("Image or mask file not found for overlay.")
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if st.button('Back to Upload'):
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shutil.rmtree(PATCHES_DIR)
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shutil.rmtree(PRED_PATCHES_DIR)
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st.session_state.page = 'upload'
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st.session_state.file_uploaded = False
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st.session_state.filename = None
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if st.session_state.page == 'upload':
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upload_page()
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elif st.session_state.page == 'result':
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result_page()
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if __name__ == '__main__':
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main()
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