feat（新功能）: pose transform 部署

fix（修复bug）:
docs（文档变更）:
refactor（重构）:
test(增加测试):

app/service/generate_image/utils/pose_transform_upload.py

@@ -2,15 +2,14 @@ import io
 import logging
 
 import cv2
-import imageio
 import numpy as np
+import skvideo.io
 # import boto3
 from minio import Minio
 
 from app.core.config import *
 from app.service.utils.new_oss_client import oss_upload_image
 
-
 # minio 配置
 MINIO_URL = "www.minio.aida.com.hk:12024"
 MINIO_ACCESS = 'vXKFLSJkYeEq2DrSZvkB'
@@ -50,18 +49,8 @@ def upload_gif(gif_buffer, user_id, category, file_name):
 
 def upload_video(frames, user_id, category, file_name):
     try:
+        ndarray_to_video(frames, file_name)
         object_name = f'{user_id}/{category}/{file_name}'
-        # 创建视频写入器
-        fps = 1  # 帧率
-
-        fourcc = cv2.VideoWriter.fourcc(*'avc1')
-        video_writer = cv2.VideoWriter(file_name, fourcc, fps, (512, 768))
-
-        # 逐帧写入
-        for frame in frames:
-            video_writer.write(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))  # OpenCV需BGR格式
-        video_writer.release()
-
         minio_client.fput_object(
             "aida-users",
             object_name,
@@ -70,29 +59,29 @@ def upload_video(frames, user_id, category, file_name):
         )
         print(file_name)
         return f"aida-users/{object_name}"
-
-        # # 生成内存中的视频字节流
-        # video_buffer = io.BytesIO()
-        # with imageio.get_writer(video_buffer, format="mp4", fps=24) as writer:
-        #     for img in frames:
-        #         writer.append_data(img)
-        # writer.close()
-        # video_bytes = video_buffer.getvalue()
-        #
-        # object_name = f'{user_id}/{category}/{file_name}'
-        # # 上传视频流到MinIO
-        # minio_client.put_object(
-        #     bucket_name="aida-users",
-        #     object_name=object_name,
-        #     data=io.BytesIO(video_bytes),
-        #     length=len(video_bytes),
-        #     content_type="video/mp4"
-        # )
-        # return f"aida-users/{object_name}"
     except Exception as e:
         logging.warning(f"upload_video runtime exception : {e}")
 
 
+def ndarray_to_video(images, output_path, frame_size=(512, 768), fps=1):
+    # 初始化视频写入器
+    writer = skvideo.io.FFmpegWriter(
+        output_path,
+        inputdict={'-r': str(fps)},
+        outputdict={'-r': str(fps), '-vcodec': 'libx264'}
+    )
+    # 逐帧写入
+    for frame in images:
+        # 调整尺寸（可选）
+        resized_frame = cv2.resize(frame, frame_size)
+        # 转换颜色通道（若需从 BGR 转 RGB）
+        rgb_frame = cv2.cvtColor(resized_frame, cv2.COLOR_BGR2RGB)
+        writer.writeFrame(rgb_frame)
+
+    # 关闭写入器
+    writer.close()
+
+
 if __name__ == '__main__':
-    images = np.random.randint(0, 256, size=(10, 768, 512, 3), dtype=np.uint8)
-    print(upload_video(images, user_id=89, category='test', file_name="1123123.mp4"))
+    images = np.random.randint(0, 256, size=(4, 768, 512, 3), dtype=np.uint8)
+    print(upload_video(images, user_id=89, category='pose_transform_video', file_name="1123123.mp4"))