内存泄露问题修复 #4779
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内存泄露问题修复 #4779
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scyyh11
commented
Nov 28, 2025
scyyh11
commented
- 使用 cv2.imencode 优化图像编码，降低内存占用。
- 增加 malloc_trim 强制回收内存碎片。
- 增加显式 GC 和对象删除逻辑。
2. 增加 malloc_trim 强制回收内存碎片。 3. 增加显式 GC 和对象删除逻辑。
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Thanks for your contribution! |
Bobholamovic
reviewed
Dec 1, 2025
| elif isinstance(image, np.ndarray): | ||
| import cv2 | ||
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| success, buffer = cv2.imencode('.jpg', image, [int(cv2.IMWRITE_JPEG_QUALITY), 95]) |
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此前发现cv2.imencode与PIL.Image.save存在区别，这样做似乎会影响精度。可能需要确认一下换用cv2.imencode的必要性。
| result = future.result() | ||
| results.append(result.choices[0].message.content) | ||
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| _force_memory_compact() |
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在每次执行完成后调用gc.collect，是否影响推理速度？
| gc.collect() | ||
| if platform.system() == "Linux": | ||
| try: | ||
| libc = ctypes.CDLL("libc.so.6") |
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这里硬编码了库名。是否可以采用更通用的方法（例如ctypes.util.find_library）？
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