152 lines
4.9 KiB
Python
152 lines
4.9 KiB
Python
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import os
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import datetime
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import cv2
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import numpy as np
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from PIL import Image, ImageDraw
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def save_images(img_list, folder):
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if not os.path.exists(folder):
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os.makedirs(folder)
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now = datetime.datetime.now()
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date_str = now.strftime("%Y-%m-%d")
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folder_path = os.path.join(folder, date_str)
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if not os.path.exists(folder_path):
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os.makedirs(folder_path)
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time_str = now.strftime("%H_%M_%S")
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for idx, img in enumerate(img_list):
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image_number = idx + 1
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filename = f"{time_str}_{image_number}.jpg"
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save_path = os.path.join(folder_path, filename)
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cv2.imwrite(save_path, img[..., ::-1])
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def check_channels(image):
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channels = image.shape[2] if len(image.shape) == 3 else 1
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if channels == 1:
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image = cv2.cvtColor(image, cv2.COLOR_GRAY2BGR)
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elif channels > 3:
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image = image[:, :, :3]
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return image
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def resize_image(img, max_length=768):
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height, width = img.shape[:2]
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max_dimension = max(height, width)
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if max_dimension > max_length:
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scale_factor = max_length / max_dimension
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new_width = int(round(width * scale_factor))
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new_height = int(round(height * scale_factor))
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new_size = (new_width, new_height)
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img = cv2.resize(img, new_size)
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height, width = img.shape[:2]
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img = cv2.resize(img, (width - (width % 64), height - (height % 64)))
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return img
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def insert_spaces(string, nSpace):
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if nSpace == 0:
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return string
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new_string = ""
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for char in string:
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new_string += char + " " * nSpace
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return new_string[:-nSpace]
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def draw_glyph(font, text):
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g_size = 50
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W, H = (512, 80)
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new_font = font.font_variant(size=g_size)
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img = Image.new(mode="1", size=(W, H), color=0)
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draw = ImageDraw.Draw(img)
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left, top, right, bottom = new_font.getbbox(text)
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text_width = max(right - left, 5)
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text_height = max(bottom - top, 5)
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ratio = min(W * 0.9 / text_width, H * 0.9 / text_height)
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new_font = font.font_variant(size=int(g_size * ratio))
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text_width, text_height = new_font.getsize(text)
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offset_x, offset_y = new_font.getoffset(text)
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x = (img.width - text_width) // 2
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y = (img.height - text_height) // 2 - offset_y // 2
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draw.text((x, y), text, font=new_font, fill="white")
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img = np.expand_dims(np.array(img), axis=2).astype(np.float64)
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return img
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def draw_glyph2(
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font, text, polygon, vertAng=10, scale=1, width=512, height=512, add_space=True
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):
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enlarge_polygon = polygon * scale
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rect = cv2.minAreaRect(enlarge_polygon)
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box = cv2.boxPoints(rect)
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box = np.int0(box)
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w, h = rect[1]
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angle = rect[2]
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if angle < -45:
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angle += 90
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angle = -angle
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if w < h:
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angle += 90
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vert = False
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if abs(angle) % 90 < vertAng or abs(90 - abs(angle) % 90) % 90 < vertAng:
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_w = max(box[:, 0]) - min(box[:, 0])
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_h = max(box[:, 1]) - min(box[:, 1])
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if _h >= _w:
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vert = True
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angle = 0
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img = np.zeros((height * scale, width * scale, 3), np.uint8)
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img = Image.fromarray(img)
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# infer font size
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image4ratio = Image.new("RGB", img.size, "white")
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draw = ImageDraw.Draw(image4ratio)
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_, _, _tw, _th = draw.textbbox(xy=(0, 0), text=text, font=font)
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text_w = min(w, h) * (_tw / _th)
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if text_w <= max(w, h):
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# add space
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if len(text) > 1 and not vert and add_space:
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for i in range(1, 100):
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text_space = insert_spaces(text, i)
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_, _, _tw2, _th2 = draw.textbbox(xy=(0, 0), text=text_space, font=font)
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if min(w, h) * (_tw2 / _th2) > max(w, h):
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break
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text = insert_spaces(text, i - 1)
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font_size = min(w, h) * 0.80
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else:
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shrink = 0.75 if vert else 0.85
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font_size = min(w, h) / (text_w / max(w, h)) * shrink
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new_font = font.font_variant(size=int(font_size))
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left, top, right, bottom = new_font.getbbox(text)
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text_width = right - left
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text_height = bottom - top
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layer = Image.new("RGBA", img.size, (0, 0, 0, 0))
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draw = ImageDraw.Draw(layer)
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if not vert:
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draw.text(
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(rect[0][0] - text_width // 2, rect[0][1] - text_height // 2 - top),
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text,
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font=new_font,
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fill=(255, 255, 255, 255),
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)
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else:
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x_s = min(box[:, 0]) + _w // 2 - text_height // 2
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y_s = min(box[:, 1])
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for c in text:
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draw.text((x_s, y_s), c, font=new_font, fill=(255, 255, 255, 255))
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_, _t, _, _b = new_font.getbbox(c)
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y_s += _b
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rotated_layer = layer.rotate(angle, expand=1, center=(rect[0][0], rect[0][1]))
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x_offset = int((img.width - rotated_layer.width) / 2)
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y_offset = int((img.height - rotated_layer.height) / 2)
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img.paste(rotated_layer, (x_offset, y_offset), rotated_layer)
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img = np.expand_dims(np.array(img.convert("1")), axis=2).astype(np.float64)
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return img
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