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Running
on
Zero
Update feifeilib/feifeifilter.py
Browse files- feifeilib/feifeifilter.py +58 -66
feifeilib/feifeifilter.py
CHANGED
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# feifeilib/feifeifilter.py
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import cv2
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import numpy as np
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from PIL import Image
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def validate_image(img):
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"""确保图像为3通道uint8格式"""
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if img.dtype != np.uint8:
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img = img.astype(np.uint8)
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if len(img.shape) == 2:
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img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
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elif img.shape[2] == 4:
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img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
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return img
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def japanese_style(
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input_img,
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brightness=15,
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blue_intensity=1.1,
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softlight_strength=0.2
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img =
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cv2.
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# ===== 锐化处理 =====
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# kernel = np.array([[-1,-1,-1],
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# [-1,sharpen_strength,-1],
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# [-1,-1,-1]])
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# img = cv2.filter2D(img, cv2.CV_8U, kernel)
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# 转回PIL格式
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img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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return Image.fromarray(img)
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# feifeilib/feifeifilter.py
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import cv2
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import numpy as np
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from PIL import Image
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def validate_image(img):
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"""确保图像为3通道uint8格式"""
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if img.dtype != np.uint8:
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img = img.astype(np.uint8)
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if len(img.shape) == 2:
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img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
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elif img.shape[2] == 4:
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img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
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return img
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def japanese_style(
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input_img,
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brightness=15,
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blue_intensity=1.1,
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softlight_strength=0.2
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):
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"""日系风格处理函数(已修复参数接收问题)"""
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# 参数类型转换(Gradio的Slider返回float类型)
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brightness = int(brightness)
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blue_intensity = float(blue_intensity)
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softlight_strength = float(softlight_strength)
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# 格式转换
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img = np.array(input_img)
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img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
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img = validate_image(img)
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# ===== 基础调整 =====
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img = cv2.convertScaleAbs(img, alpha=1.1, beta=brightness)
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# ===== 色调调整 =====
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b, g, r = cv2.split(img)
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b = np.clip(b * blue_intensity, 0, 255).astype(np.uint8)
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g = np.clip(g * 1.05, 0, 255).astype(np.uint8)
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img = cv2.merge((b, g, r))
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# ===== 柔光效果 =====
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overlay = img.copy()
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cv2.rectangle(overlay, (0,0), (img.shape[1], img.shape[0]),
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(210,230,250), -1)
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img = cv2.addWeighted(overlay, softlight_strength,
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img, 1-softlight_strength, 0)
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# ===== 曲线调整 =====
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lut = np.array([int(255 * (0.5 * np.sin((x/255 - 0.5)*np.pi) + 0.5))
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for x in range(256)])
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img = cv2.LUT(img, lut)
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# 锐化前再次验证格式
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img = validate_image(img)
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# 转回PIL格式
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img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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return Image.fromarray(img)
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