Spaces:
Sleeping
Sleeping
fix: build failure
Browse files
app.py
CHANGED
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@@ -1,6 +1,8 @@
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import gradio as gr
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import numpy as np
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import math
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import torch
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from PIL import Image, ImageDraw
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@@ -13,9 +15,70 @@ config = Config()
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cuda = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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# ์ขํ๋ฅผ ์ด๊ธฐํํ๋ ํจ์
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def reset_points(image, state):
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@@ -38,7 +101,8 @@ def rotate_image(image):
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return rotated_image, state
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def reset_image(image, state):
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state = list(get_corner(mask2point(mask=msk_np)))
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img = Image.fromarray(image)
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@@ -59,6 +123,7 @@ def reset_image(image, state):
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return img, state
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def auto_point_detect(image):
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out_image, msk_np = docscanner_rec(image, docscanner, cuda)
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state = list(get_corner(mask2point(mask=msk_np)))
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@@ -126,6 +191,7 @@ def sort_corners(corners):
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def convert(image, state):
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h,w = image.shape[:2]
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if len(state) < 4:
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out_image, msk_np = docscanner_rec(image, docscanner, cuda)
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out_image = out_image[:,:,::-1]
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elif len(state) ==4:
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@@ -151,7 +217,12 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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with gr.Column():
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text = gr.Textbox("์
๋ ฅ ์ด๋ฏธ์ง(์ฝ๋๋ฅผ ํด๋ฆญํ์ธ์)", show_label=False)
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image_input = gr.Image(
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clear_button = gr.Button("Clear Points")
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cutting_button = gr.Button("Cutting Image(need more than 2 points)")
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rotating_button = gr.Button("Rotate Image(clock wise 90 degree)")
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@@ -159,13 +230,13 @@ with gr.Blocks(css=css) as demo:
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convert_button = gr.Button("Convert Image")
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with gr.Column():
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text = gr.Textbox("๋ณํ๋ ์์ญ", show_label=False)
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image_output = gr.Image(show_label=False)
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# state_display = gr.Textbox(label="Current State")
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# coordinates_text = gr.Textbox(label="Coordinates", placeholder="Enter coordinates (x, y) for each point")
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# update_coords_button = gr.Button("Update Coordinates")
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with gr.Column():
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text = gr.Textbox("๊ฒฐ๊ณผ ์ด๋ฏธ์ง", show_label=False)
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result_image = gr.Image(show_label=False, format="png")
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# # ์ด๋ฏธ์ง ์์์ ํด๋ฆญ ์ด๋ฒคํธ ์ฒ๋ฆฌ
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image_input.select(draw_polygon_on_image, inputs=[image_input,state], outputs=[image_output,state])
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@@ -183,4 +254,7 @@ with gr.Blocks(css=css) as demo:
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# ๋ณํ ๋ฒํผ
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convert_button.click(fn=convert, inputs=[image_input,state], outputs=result_image)
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import gradio as gr
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import numpy as np
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import math
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import os
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import shutil
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import torch
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from PIL import Image, ImageDraw
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cuda = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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_docscanner = None
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def _is_git_lfs_pointer_file(path: str) -> bool:
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try:
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with open(path, "rb") as f:
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head = f.read(200)
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return b"version https://git-lfs.github.com/spec/v1" in head
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except FileNotFoundError:
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return False
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def _try_download_from_hf_hub(repo_id: str, filename: str, local_path: str) -> bool:
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try:
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from huggingface_hub import hf_hub_download # type: ignore
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downloaded = hf_hub_download(repo_id=repo_id, filename=filename)
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os.makedirs(os.path.dirname(local_path), exist_ok=True)
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shutil.copyfile(downloaded, local_path)
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return True
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except Exception:
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return False
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def _ensure_weights_present() -> None:
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seg_path = config.get_seg_model_path
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rec_path = config.get_rec_model_path
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needs_seg = (not os.path.exists(seg_path)) or _is_git_lfs_pointer_file(seg_path)
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needs_rec = (not os.path.exists(rec_path)) or _is_git_lfs_pointer_file(rec_path)
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if not (needs_seg or needs_rec):
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return
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repo_id = (
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os.getenv("SPACE_ID")
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or os.getenv("HF_SPACE_ID")
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or os.getenv("HF_REPO_ID")
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or os.getenv("REPO_ID")
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)
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if repo_id:
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if needs_seg:
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_try_download_from_hf_hub(repo_id, os.path.basename(seg_path), seg_path)
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if needs_rec:
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_try_download_from_hf_hub(repo_id, os.path.basename(rec_path), rec_path)
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def get_docscanner():
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global _docscanner
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if _docscanner is not None:
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return _docscanner
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_ensure_weights_present()
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seg_path = config.get_seg_model_path
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rec_path = config.get_rec_model_path
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if _is_git_lfs_pointer_file(seg_path) or _is_git_lfs_pointer_file(rec_path):
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raise RuntimeError(
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"Model weight files look like Git LFS pointers. "
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"Make sure LFS objects are downloaded (e.g. `git lfs pull`) "
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"or allow the Space to download them from the Hub at runtime."
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)
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_docscanner = load_docscanner_model(cuda, path_l=rec_path, path_m=seg_path)
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return _docscanner
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# ์ขํ๋ฅผ ์ด๊ธฐํํ๋ ํจ์
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def reset_points(image, state):
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return rotated_image, state
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def reset_image(image, state):
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docscanner = get_docscanner()
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out_image, msk_np = docscanner_rec(image, docscanner, cuda)
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state = list(get_corner(mask2point(mask=msk_np)))
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img = Image.fromarray(image)
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return img, state
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def auto_point_detect(image):
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docscanner = get_docscanner()
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out_image, msk_np = docscanner_rec(image, docscanner, cuda)
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state = list(get_corner(mask2point(mask=msk_np)))
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def convert(image, state):
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h,w = image.shape[:2]
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if len(state) < 4:
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docscanner = get_docscanner()
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out_image, msk_np = docscanner_rec(image, docscanner, cuda)
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out_image = out_image[:,:,::-1]
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elif len(state) ==4:
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with gr.Row():
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with gr.Column():
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text = gr.Textbox("์
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image_input = gr.Image(
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show_label=False,
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interactive=True,
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elem_classes="image-container",
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type="numpy",
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)
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clear_button = gr.Button("Clear Points")
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cutting_button = gr.Button("Cutting Image(need more than 2 points)")
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rotating_button = gr.Button("Rotate Image(clock wise 90 degree)")
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convert_button = gr.Button("Convert Image")
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with gr.Column():
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text = gr.Textbox("๋ณํ๋ ์์ญ", show_label=False)
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image_output = gr.Image(show_label=False, type="pil")
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# state_display = gr.Textbox(label="Current State")
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# coordinates_text = gr.Textbox(label="Coordinates", placeholder="Enter coordinates (x, y) for each point")
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# update_coords_button = gr.Button("Update Coordinates")
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with gr.Column():
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text = gr.Textbox("๊ฒฐ๊ณผ ์ด๋ฏธ์ง", show_label=False)
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result_image = gr.Image(show_label=False, format="png", type="numpy")
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# # ์ด๋ฏธ์ง ์์์ ํด๋ฆญ ์ด๋ฒคํธ ์ฒ๋ฆฌ
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image_input.select(draw_polygon_on_image, inputs=[image_input,state], outputs=[image_output,state])
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# ๋ณํ ๋ฒํผ
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convert_button.click(fn=convert, inputs=[image_input,state], outputs=result_image)
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is_spaces = bool(
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os.getenv("SPACE_ID") or os.getenv("HF_SPACE_ID") or os.getenv("SYSTEM") == "spaces"
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)
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demo.launch(share=not is_spaces and bool(os.getenv("GRADIO_SHARE")))
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