lawo123

Results 15 issues of lawo123

I used onnx2keras tag v0.0.5, tensorflow-gpu 1.14.0 cuda 10.0.when i run ,i got the error 'tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version'.If i used...

I used onnx2keras tag v0.0.5, tensorflow-gpu 1.14.0 cuda 10.0.when i run ,i got the error 'tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version'.If i used...

bug

**Describe the bug** how to set opset_version=11? `torch.onnx.export(model, dummy_input, "test.onnx", verbose=True, opset_version=11)` @tehsenaus

bug

Can I use infrared images as input? @liguohao96

##### System information (version) - OpenCV =>4.5.3 - Operating System / Platform => T-head's Xuantie-906 CPU - Compiler =>risc-v ##### Detailed description I build OpenCV for T-head's Xuantie-906 CPU,follow https://github.com/opencv/opencv/wiki/OpenCV-RISC-V....

bug
category: build/install
platform: riscv

![image](https://user-images.githubusercontent.com/44777088/137240375-bbe42ef4-6d5b-40ff-a3fc-dacced95db46.png) 您好,按照您的代码训练fastpose在coco数据集上的结果,##### Epoch 199 | gt mAP: 0.7252916811102725 | rcnn mAP: 0.6978454378890657 #####,没有复现出您mAP 0.72的结果呢 @Fang-Haoshu

Longer Chinese sentences use fastspeech2 to synthesize exceptions. TEXT:在一个拥有 2500 万人口的不发达且以孤立着称的国家,绝大多数人被认为没有接种疫苗,它有可能成为一场规模巨大的人道主义灾难,威胁到几乎任何政府的权力控制 在世界上。 WAVE:[2.zip](https://github.com/TensorSpeech/TensorFlowTTS/files/9138051/2.zip) @dathudeptrai

As shown in the figure below, the inference speed of tflite is much slower than that of tensorflow.Why? ![image](https://user-images.githubusercontent.com/44777088/176849310-636b34b0-50fe-4529-842b-bdb2995f64c6.png)

同样用baker数据集训练 我训练的结果 长文本后半段就异常了 [our_fastspeech2.zip](https://github.com/PaddlePaddle/PaddleSpeech/files/9205043/our_fastspeech2.zip) 你们的fastspeech2预训练模型的结果就是正常的,为什么你们支持的长度比我的长,而数据集是一致的 [paddle_fastspeech2.zip](https://github.com/PaddlePaddle/PaddleSpeech/files/9205044/paddle_fastspeech2.zip)

T2S