刘桂玉

multi_gpu_model AttributeError: 'NoneType' object has no attribute 'fusion_blocks'

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When multi_gpu=0, the network can be trained smoothly, but when I change multi_gpu=8, I get the error bellow: It seems likely the cfg cannot be passed to backbone_retinanet. it seems...

I have 8 gpus on my machine and they all work well when use nvidia-smi to list but I got errors below the keras issue is here https://github.com/keras-team/keras/issues/11644 it seems...

maybe it should be changed to this in line 38 in func def download_imagenet(self): if self.backbone == 'vgg16': **backbone_name = 'vgg16'** resource = keras.applications.vgg16.vgg16.WEIGHTS_PATH_NO_TOP checksum = '6d6bbae143d832006294945121d1f1fc' elif 'vgg-max' in...

when I run deepcca.py ,error occurred about model.fit() ``` model.fit([train_set_x1, train_set_x2], np.zeros(len(train_set_x1)), batch_size=batch_size, epochs=epoch_num, shuffle=True, validation_data=([valid_set_x1, valid_set_x2], np.zeros(len(valid_set_x1))), callbacks=[checkpointer]) ValueError: ('Error when checking model target: expected no data, but got:',...

visualization of lanes on surrounding views

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hello， is there code which can visualize the lanes on surrounding views? just like the visulization in appendix in MaptrV2 need to see some cases, hope you can share the...

how to use every video rather than randomly selected 10 videos for every batch ?

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I read your code , you randomly selected 10 videos rather than loop every video during training 。 I think "input_data.read_clip_and_label()" could do better ， if train from scratch

lack of json file for view_transformer.cpp demo

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lack of json files : n_voxels_meta.json voxel_size_meta.json origin_meta.json /origin_data.bin

how to use this repo？

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when I run another repo , it tells me to install this ,I want to know how to install ?

UNSUPPORTED_NODE: Assertion failed: creator && "Plugin not found, a When running test sample

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sh samples/test_trt_ops.sh Running on the GPU: 0 #################### Running BEVPoolV2TestCase #################### test_fp16 (det2trt.models.utils.test_trt_ops.test_bev_pool_v2.BEVPoolV2TestCase) ... /opt/conda/lib/python3.10/site-packages/tensorrt/__init__.py:75: DeprecationWarning: Context managers for TensorRT types are deprecated. Memory will be freed automatically when the...

TypeError: '>' not supported between instances of 'Tensor' and 'numpy.float32' in_range_flags = ((self.tensor[:, 0] > box_range[0])

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errors about mmdet3d File "/opt/conda/lib/python3.8/site-packages/mmdet3d-0.18.1-py3.8-linux-x86_64.egg/mmdet3d/core/bbox/structures/lidar_box3d.py", line 218, in in_range_bev in_range_flags = ((self.tensor[:, 0] > box_range[0]) TypeError: '>' not supported between instances of 'Tensor' and 'numpy.float32'