Spaces:
Running
Running
fix(app): Remove the single visualize function
Browse files
app.py
CHANGED
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@@ -9,10 +9,10 @@ import numpy as np
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import pandas as pd
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import streamlit as st
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from PIL import Image
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from rapidocr_onnxruntime import RapidOCR
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from streamlit_image_select import image_select
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-
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font_dict = {
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"ch": "chinese_cht.ttf",
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@@ -115,9 +115,8 @@ def inference(
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dt_boxes, rec_res, scores = list(zip(*ocr_result))
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font_path = Path("fonts") / font_dict.get(lan_name)
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vis_img =
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)
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out_df = pd.DataFrame(
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[[rec, score] for rec, score in zip(rec_res, scores)],
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columns=("Rec", "Score"),
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@@ -137,8 +136,8 @@ if __name__ == "__main__":
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)
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st.markdown(
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"""
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<p align="
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<a href=""><img src="https://img.shields.io/badge/Python->=3.6,<3.
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<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
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<a href="https://pepy.tech/project/rapidocr_onnxruntime"><img src="https://static.pepy.tech/personalized-badge/rapidocr_onnxruntime?period=total&units=abbreviation&left_color=grey&right_color=blue&left_text=Downloads%20Ort"></a>
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<a href="https://pypi.org/project/rapidocr-onnxruntime/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rapidocr-onnxruntime"></a>
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import pandas as pd
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import streamlit as st
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from PIL import Image
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from rapidocr_onnxruntime import RapidOCR, VisRes
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from streamlit_image_select import image_select
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vis = VisRes()
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font_dict = {
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"ch": "chinese_cht.ttf",
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dt_boxes, rec_res, scores = list(zip(*ocr_result))
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font_path = Path("fonts") / font_dict.get(lan_name)
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vis_img = vis(img, dt_boxes, rec_res, scores, font_path=str(font_path))
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vis_img = vis_img[..., ::-1]
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out_df = pd.DataFrame(
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[[rec, score] for rec, score in zip(rec_res, scores)],
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columns=("Rec", "Score"),
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)
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st.markdown(
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"""
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<p align="center">
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<a href=""><img src="https://img.shields.io/badge/Python->=3.6,<3.13-aff.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
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<a href="https://pepy.tech/project/rapidocr_onnxruntime"><img src="https://static.pepy.tech/personalized-badge/rapidocr_onnxruntime?period=total&units=abbreviation&left_color=grey&right_color=blue&left_text=Downloads%20Ort"></a>
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<a href="https://pypi.org/project/rapidocr-onnxruntime/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rapidocr-onnxruntime"></a>
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utils.py
DELETED
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@@ -1,78 +0,0 @@
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# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: [email protected]
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import math
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import random
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from pathlib import Path
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import numpy as np
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from PIL import Image, ImageDraw, ImageFont
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def draw_ocr_box_txt(image, boxes, txts, font_path, scores=None, text_score=0.5):
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h, w = image.height, image.width
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img_left = image.copy()
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img_right = Image.new("RGB", (w, h), (255, 255, 255))
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random.seed(0)
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draw_left = ImageDraw.Draw(img_left)
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draw_right = ImageDraw.Draw(img_right)
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for idx, (box, txt) in enumerate(zip(boxes, txts)):
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if scores is not None and float(scores[idx]) < text_score:
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continue
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color = (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255))
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box = [tuple(v) for v in box]
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draw_left.polygon(box, fill=color)
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draw_right.text([box[3][0], box[3][1]], str(idx), fill=color)
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draw_right.polygon(
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[
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box[0][0],
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box[0][1],
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box[1][0],
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box[1][1],
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box[2][0],
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box[2][1],
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box[3][0],
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box[3][1],
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],
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outline=color,
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)
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box_height = math.sqrt(
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(box[0][0] - box[3][0]) ** 2 + (box[0][1] - box[3][1]) ** 2
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)
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box_width = math.sqrt(
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(box[0][0] - box[1][0]) ** 2 + (box[0][1] - box[1][1]) ** 2
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)
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if box_height > 2 * box_width:
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font_size = max(int(box_width * 0.9), 10)
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font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
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cur_y = box[0][1]
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for c in txt:
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char_size = font.getsize(c)
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draw_right.text((box[0][0] + 3, cur_y), c, fill=(0, 0, 0), font=font)
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cur_y += char_size[1]
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else:
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font_size = max(int(box_height * 0.8), 10)
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font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
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draw_right.text([box[0][0], box[0][1]], txt, fill=(0, 0, 0), font=font)
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img_left = Image.blend(image, img_left, 0.5)
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img_show = Image.new("RGB", (w * 2, h), (255, 255, 255))
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img_show.paste(img_left, (0, 0, w, h))
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img_show.paste(img_right, (w, 0, w * 2, h))
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return np.array(img_show)
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def visualize(image, boxes, txts, scores, font_path="./fonts/FZYTK.TTF"):
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draw_img = draw_ocr_box_txt(image, boxes, txts, font_path, scores, text_score=0.5)
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draw_img_save = Path("./inference_results/")
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if not draw_img_save.exists():
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draw_img_save.mkdir(parents=True, exist_ok=True)
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return draw_img[:, :, ::-1]
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