【发布时间】：2020-09-22 08:04:37
【问题描述】：
当我尝试将 yolov4 权重转换为 tflite 时，发生了 ValueError。我无法解决这个问题并找到合适的答案。 这个权重文件在 PycharmProject .py 文件中可用，我可以在对象检测代码中找到它。 但是在转换为tflite的过程中，出现了ValueError。
使用的 GitHub 链接： tensorflow_yolov4_tflite tensorflow-yolov4
我参考了这个 StackOverflow Q&A，但它不起作用。 Unable to convert YOLOv4 to tflite
这是错误代码。
（convert_tflite.py 和 convert.py (to pb) 也不起作用。）
C:\Users\HANSUHO\GitClone\totflite>python save_model.py --weights ./data/clothes_yolov4-custom_final.weights --output ./checkpoints/yolov4-416 --input_size 416 --model yolov4 --框架 tflite
2020-09-22 16:29:38.010283: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-09-22 16:29:38.036873: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-09-22 16:29:44.344951: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-09-22 16:29:44.360513: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2020-09-22 16:29:44.379603: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-S931GV6
2020-09-22 16:29:44.393095: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-S931GV6
2020-09-22 16:29:44.402485: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-09-22 16:29:44.453636: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x26a5376f020 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-22 16:29:44.475123: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
Traceback (most recent call last):
File "save_model.py", line 58, in <module>
app.run(main)
File "C:\Users\HANSUHO\AppData\Local\Programs\Python\Python37\lib\site-packages\absl\app.py", line 300, in run
_run_main(main, args)
File "C:\Users\HANSUHO\AppData\Local\Programs\Python\Python37\lib\site-packages\absl\app.py", line 251, in _run_main
sys.exit(main(argv))
File "save_model.py", line 54, in main
save_tf()
File "save_model.py", line 49, in save_tf
utils.load_weights(model, FLAGS.weights, FLAGS.model, FLAGS.tiny)
File "C:\Users\HANSUHO\GitClone\totflite\core\utils.py", line 63, in load_weights
conv_weights = conv_weights.reshape(conv_shape).transpose([2, 3, 1, 0])
ValueError: cannot reshape array of size 4565322 into shape (1024,512,3,3)
【问题讨论】：
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我认为gpu已经耗尽。
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我的笔记本电脑上没有 GPU。它需要 GPU 吗？
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我不确定。但一般不会。你用的是哪个tf？为什么一开始会触发搜索你的gpu？
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我笔记本的tf版本是2.3。感谢您的评论，我猜这个问题可能是因为 gpu 造成的，/所以我正在 google colab 上尝试这个问题。
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在colab中，出现同样的错误...m..
标签： python object-detection converters yolo tensorflow-lite