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                                            paul_work

python3 experiments/inference.py error

I have got the same issue too, how can I correct this error?

load_weights 加载权重的时候, 报错: Shape mismatch in layer #175 , 请问是为什么呢?

用的老师你分享的权重文件centernet_resnet50_voc.h5

TypeError: Tensors are unhashable (this tensor: KerasTensor(type_spec=TensorSpec(shape=(None, 4), dtype=tf.float32, name=None), description="created by layer 'input_1'")). Instead, use tensor.ref() as the key.

请问这个issue该如何修正呢?

请问老师, 如果我需要将输入shape设置为固定的, 下面几个语句该怎么修改呢?

还有如果我如上修改, , ```python #----------------------------------------------------------------------# # 输入的shape大小 # 算法会填充输入图片到[IMAGE_MAX_DIM, IMAGE_MAX_DIM]的大小 #----------------------------------------------------------------------# "IMAGE_MAX_DIM" : 512, ``` 这里是不是也需要修改成1024呢?

ModuleNotFoundError: No module named 'ops.voxel_op'

Excuse me, teacher. I operate in an environment without a GPU. How can I conduct testing? Currently, I want to only run the test file, but some feedback information is...