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tori29umai
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -1,103 +1,65 @@
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import gradio as gr
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from PIL import Image
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import os
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import
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# 新しいサイズ
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target_width, target_height = 252, 144
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# 分割後の画像を格納するリスト
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outputs = []
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# 画像を4つのセクションに分割するための新しいサイズ
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new_width = original_width // 2
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new_height = original_height // 2
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# 画像を4つのセクションに分割
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for i in range(2):
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for j in range(2):
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left = new_width * j
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upper = new_height * i
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right = new_width * (j + 1)
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lower = new_height * (i + 1)
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# 画像を切り取る
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cropped_image = image.crop((left, upper, right, lower))
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# アスペクト比を保ちながら、リサイズ
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cropped_image.thumbnail((target_width, target_height), Image.Resampling.LANCZOS)
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# 新しい黒背景を作成
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black_background = Image.new('RGBA', (target_width, target_height), (0, 0, 0, 255))
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# 余白の追加を左上、左下、右上、右下に対応
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if i == 0 and j == 0: # 左上
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left_offset = (target_width - cropped_image.width) # 右側に余白
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top_offset = (target_height - cropped_image.height) # 下側に余白
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elif i == 1 and j == 0: # 左下
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left_offset = (target_width - cropped_image.width) # 右側に余白
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top_offset = 0 # 上側に余白
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elif i == 0 and j == 1: # 右上
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left_offset = 0 # 左側に余白
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top_offset = (target_height - cropped_image.height) # 下側に余白
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elif i == 1 and j == 1: # 右下
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left_offset = 0 # 左側に余白
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top_offset = 0 # 上側に余白
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return outputs[0], outputs[1], outputs[2], outputs[3]
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for file_path in zip_files:
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zipf.write(file_path, arcname=os.path.basename(file_path))
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image_name = os.path.splitext(image_path)[0]
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output3_path = f"{image_name}_3.png"
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output4_path = f"{image_name}_4.png"
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# 画像を保存(PNG形式で保存)
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save_image(output1, output1_path)
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save_image(output2, output2_path)
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save_image(output3, output3_path)
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save_image(output4, output4_path)
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zip_files(zip_files_list, zip_path)
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# 出力として画像とzipファイルを返す
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outputs = [output1, output2, output3, output4]
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return outputs, zip_path
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def launch(self, share):
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with self.demo:
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submit = gr.Button(value="Start")
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with gr.Row():
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with gr.Column():
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with gr.Tab("
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submit.click(
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self.main,
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inputs=[input_image],
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outputs=[output_0, output_file]
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)
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self.demo.queue()
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self.demo.launch(share=share)
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if __name__ == "__main__":
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ui =
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ui.launch(share=True)
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import gradio as gr
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from PIL import Image
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import os
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import cv2
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import numpy as np
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def process_image(image_path):
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# 画像を読み込む
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image = Image.open(image_path)
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# 最大解像度を設定(1200x1900)
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max_width = 1900
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max_height = 1200
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# アスペクト比を保ちながらリサイズ
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width, height = image.size
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if width > max_width or height > max_height:
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# アスペクト比を保ったままリサイズ
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aspect_ratio = width / height
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if width > max_width:
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width = max_width
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height = int(width / aspect_ratio)
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if height > max_height:
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height = max_height
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width = int(height * aspect_ratio)
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image = image.resize((width, height), Image.ANTIALIAS)
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# 画像を5秒の動画にするためのフレーム数を決定(例えば30fpsで5秒分なので150フレーム)
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fps = 30
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duration = 5
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total_frames = fps * duration
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# フレームリストを作成
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frames = []
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for _ in range(total_frames):
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# 同じ画像を繰り返してフレームにする(必要に応じて変化を加えることもできる)
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frame = np.array(image)
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frames.append(frame)
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# 動画保存先のパス
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output_video_path = os.path.splitext(image_path)[0] + '.mp4'
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# 動画ファイルにフレームを保存
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fourcc = cv2.VideoWriter_fourcc(*'mp4v') # MP4形式
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height, width, _ = frames[0].shape
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video_writer = cv2.VideoWriter(output_video_path, fourcc, fps, (width, height))
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# フレームを動画に書き込む
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for frame in frames:
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video_writer.write(frame)
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video_writer.release()
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return output_video_path
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class WebUI:
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def __init__(self):
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self.demo = gr.Blocks()
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def main(self, image_path):
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output_video = process_image(image_path)
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return output_video
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def launch(self, share):
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with self.demo:
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submit = gr.Button(value="Start")
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with gr.Row():
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with gr.Column():
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with gr.Tab("Output"):
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output_mp4 = gr.Gallery()
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submit.click(self.main, inputs=[input_image], outputs=[output_mp4])
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self.demo.queue()
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self.demo.launch(share=share)
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if __name__ == "__main__":
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ui = WebUI()
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ui.launch(share=True)
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