File size: 3,149 Bytes
9cc92da | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | """Web demo (Gradio): upload a photo, press Rectify, get the flat sheet and the status.
pip install gradio && python3 app.py
"""
import tempfile
import uuid
from pathlib import Path
import cv2
import gradio as gr
from ecglib import illum, nets
from rectify import OUTPUT_PX_PER_MM, THREADS, rectify_photo
MAX_SIDE = 2048
MODELS = nets.load_models(threads=THREADS)
OUT = Path(tempfile.mkdtemp())
def status_text(report, shrunk):
lines = ["**Status: {}** — {}".format(report.get("status"), report.get("reason"))]
holdout = report.get("selfcheck_holdout_mm", {}).get("median_mm")
if holdout is not None:
lines.append("Self-check median: {} mm".format(holdout))
if report.get("photo_px_per_mm"):
lines.append("Photo scale: {:.2f} px/mm".format(report["photo_px_per_mm"]))
if report.get("sheet_size_mm"):
lines.append("Sheet: {:.0f} x {:.0f} mm".format(*report["sheet_size_mm"]))
if shrunk:
lines.append("Photo resized to {} px on the longer side".format(MAX_SIDE))
lines.append("Time: {} s".format(report.get("times", {}).get("total")))
return "\n\n".join(lines)
def run(path, fix_illumination):
if path is None:
return None, None, "Upload a photo first."
photo = cv2.imread(path, cv2.IMREAD_COLOR)
if photo is None:
return None, None, "Cannot read the image."
scale = MAX_SIDE / max(photo.shape[:2])
if scale < 1:
photo = cv2.resize(photo, None, fx=scale, fy=scale, interpolation=cv2.INTER_AREA)
try:
flat, check, report = rectify_photo(MODELS, photo)
except Exception as error:
return None, None, "**Status: fail** — {!r}".format(error)
stem = OUT / uuid.uuid4().hex
flat_path = check_path = None
if flat is not None:
if fix_illumination:
flat = illum.flatten(flat, OUTPUT_PX_PER_MM, paper="white")
flat_path = str(stem) + "-flat.jpg"
cv2.imwrite(flat_path, flat, [cv2.IMWRITE_JPEG_QUALITY, 92])
if check is not None:
check_path = str(stem) + "-check.jpg"
cv2.imwrite(check_path, check, [cv2.IMWRITE_JPEG_QUALITY, 85])
return flat_path, check_path, status_text(report, scale < 1)
with gr.Blocks(title="ECG Rectifier") as demo:
gr.Markdown("# ECG Rectifier\nA phone photo of a paper ECG (bent, crumpled, folded) -> a flat sheet "
"with a square grid at 10 px/mm. CPU only; one photo takes about a minute.")
with gr.Row():
with gr.Column():
photo = gr.Image(type="filepath", label="Photo")
fix = gr.Checkbox(value=True, label="Fix illumination")
button = gr.Button("Rectify", variant="primary")
gr.Examples([["examples/folded.jpg"], ["examples/crumpled.jpg"]], inputs=[photo])
with gr.Column():
flat = gr.Image(type="filepath", label="Flat sheet")
status = gr.Markdown()
check = gr.Image(type="filepath", label="Mask (blue), working area (yellow), crop (green), grid nodes used (red)")
button.click(run, inputs=[photo, fix], outputs=[flat, check, status])
if __name__ == "__main__":
demo.launch()
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