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aryrk
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d3aec7f
1
Parent(s):
2d422fa
[feat] make session folder to seperate per user work
Browse files
app.py
CHANGED
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@@ -2,16 +2,15 @@ import gradio as gr
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import shutil
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import os
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import subprocess
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from PIL import Image
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from huggingface_hub import hf_hub_download
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from shutil import copyfile
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UPLOAD_DIR = "./uploaded_images"
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RESULTS_DIR = "./results"
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CHECKPOINTS_DIR = "./checkpoints/SingleImageReflectionRemoval"
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SAMPLE_DIR = "./sample_images"
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os.makedirs(UPLOAD_DIR, exist_ok=True)
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os.makedirs(RESULTS_DIR, exist_ok=True)
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os.makedirs(CHECKPOINTS_DIR, exist_ok=True)
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os.makedirs(SAMPLE_DIR, exist_ok=True)
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@@ -24,63 +23,57 @@ expected_model_path = os.path.join(CHECKPOINTS_DIR, MODEL_FILE)
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if not os.path.exists(expected_model_path):
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copyfile(model_path, expected_model_path)
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def
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file_path = os.path.join(UPLOAD_DIR, filename)
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if os.path.isfile(file_path):
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os.remove(file_path)
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os.remove(file_path)
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def reflection_removal(input_image, preprocess_type="resize_and_crop"):
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if not input_image.lower().endswith((".jpg", ".jpeg", ".png")):
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return "File is not supported (only .jpg, .jpeg, .png)."
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file_path = os.path.join(UPLOAD_DIR, os.path.basename(input_image))
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shutil.copy(input_image, file_path)
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input_filename = os.path.splitext(os.path.basename(file_path))[0]
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cmd = [
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"python", "test.py",
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"--dataroot",
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"--name", "SingleImageReflectionRemoval",
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"--model", "test", "--netG", "unet_256",
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"--direction", "AtoB", "--dataset_mode", "single",
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"--norm", "batch", "--epoch", "310",
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"--num_test",
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"--gpu_ids", "-1",
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"--preprocess", preprocess_type
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]
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subprocess.run(cmd, check=True)
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for root, _, files in os.walk(RESULTS_DIR):
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for file in files:
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if file.startswith(input_filename) and file.endswith("_fake.png"):
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result_path = os.path.join(root, file)
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output_image = Image.open(result_path)
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clear_results()
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return output_image
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clear_results()
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return "No results found."
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def
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if
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sample_images = [
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file for file in os.listdir(SAMPLE_DIR)
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@@ -91,20 +84,27 @@ preprocess_options = [
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"resize_and_crop", "crop", "scale_width", "scale_width_and_crop", "none"
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]
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if __name__ == "__main__":
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import shutil
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import os
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import subprocess
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import uuid
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from PIL import Image
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from huggingface_hub import hf_hub_download
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from shutil import copyfile
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RESULTS_DIR = "./results"
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CHECKPOINTS_DIR = "./checkpoints/SingleImageReflectionRemoval"
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SAMPLE_DIR = "./sample_images"
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os.makedirs(RESULTS_DIR, exist_ok=True)
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os.makedirs(CHECKPOINTS_DIR, exist_ok=True)
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os.makedirs(SAMPLE_DIR, exist_ok=True)
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if not os.path.exists(expected_model_path):
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copyfile(model_path, expected_model_path)
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def reflection_removal(input_image, preprocess_type="resize_and_crop", session_id=None):
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if not session_id:
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return "Session ID missing. Please try again."
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upload_dir = os.path.join("./sessions", session_id, "uploads")
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os.makedirs(upload_dir, exist_ok=True)
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if not input_image or not os.path.exists(input_image):
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return "No image was provided or file was cleared. Please upload a valid image."
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file_path = os.path.join(upload_dir, os.path.basename(input_image))
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shutil.copy(input_image, file_path)
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input_filename = os.path.splitext(os.path.basename(file_path))[0]
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cmd = [
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"python", "test.py",
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"--dataroot", upload_dir,
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"--name", "SingleImageReflectionRemoval",
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"--model", "test", "--netG", "unet_256",
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"--direction", "AtoB", "--dataset_mode", "single",
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"--norm", "batch", "--epoch", "310",
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"--num_test", "1",
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"--gpu_ids", "-1",
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"--preprocess", preprocess_type
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]
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subprocess.run(cmd, check=True)
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for root, _, files in os.walk(RESULTS_DIR):
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for file in files:
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if file.startswith(input_filename) and file.endswith("_fake.png"):
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result_path = os.path.join(root, file)
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output_image = Image.open(result_path)
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clear_session_files(session_id)
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return output_image
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clear_session_files(session_id)
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return "No results found."
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def clear_session_files(session_id):
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session_dir = os.path.join("./sessions", session_id)
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if os.path.exists(session_dir):
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shutil.rmtree(session_dir)
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print(f"Session {session_id} files cleared.")
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def clear_action(session_id=None):
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if session_id:
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clear_session_files(session_id)
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return "Upload cleared!"
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return "No session found to clear."
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sample_images = [
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file for file in os.listdir(SAMPLE_DIR)
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"resize_and_crop", "crop", "scale_width", "scale_width_and_crop", "none"
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]
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def session_interface():
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session_id = str(uuid.uuid4())
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return gr.Interface(
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fn=lambda img, prep: reflection_removal(img, prep, session_id),
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inputs=[
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gr.Image(type="filepath", label="Upload Image (JPG/PNG)", interactive=True),
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gr.Dropdown(choices=preprocess_options, label="Preprocessing Type", value="resize_and_crop")
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],
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outputs=gr.Image(label="Results after Reflection Removal"),
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examples=[
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[os.path.join("sample_images", img), "resize_and_crop"]
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for img in os.listdir("sample_images") if img.endswith((".jpg", ".jpeg", ".png"))
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],
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title="Reflection Remover with Pix2Pix",
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description="Upload images to remove reflections using a Pix2Pix model. You can also try the sample images below.",
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allow_flagging="never",
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live=False
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)
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os.makedirs("./sessions", exist_ok=True)
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if __name__ == "__main__":
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session_interface().launch()
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