安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- People Net - - TAO Toolkit - NVIDIA Developer Forums
Then you can use “tlt-evaulate” to check if the peoplenet pretrained model “resnet34_peoplenet tlt” has a good mAP $ tlt-evaluate detectnet_v2 -e spec_3class txt -m resnet34_peoplenet tlt -k tlt_encode Normally, the mAP will be high It means the peoplenet weights take effect on your own 3 classes data
- Run PeopleNet with tensorrt - NVIDIA Developer Forums
I now use PeopleNet ,and change it to TensorRT type (An engine file) But I’am confused with the output of the model Tensor-name(output_bbox BiasAdd ) with shape (12, 34, 60) and tensor-name(output_cov Sigmoid) with
- Peoplenet model error on Jetson Orin Nano - NVIDIA Developer Forums
@sairaghava2013 I believe it’s because I haven’t yet updated jetson-inference to use the newer way of converting TAO models, and the trt-converter no longer works on JetPack 6
- Peoplenet unpruned model evaluation - NVIDIA Developer Forums
For more info: I am attaching my training specification file also peoplenet_train_resnet34_kitti (1) txt (3 2 KB) Please help me to fix this Thanks:) NVIDIA Developer Forums Peoplenet unpruned model evaluation
- PeopleNet not Detecting Bags - NVIDIA Developer Forums
Hi, I tested peoplenet on pruned_quantized_decrypted_v2 3 4 and deployable_quantized_onnx_v2 6 3 and realized that the model detects person and face well but detects no bag Appreciate if you could point out what went wrong
- Deepstream6. 3 tao_pretrained_models | peopleNet . onnx to . engine
resnet34_peoplenet_int8 onnx Tried running the below to create tensorRT engine file from onnx but not working
- Run peoplenet on python virtual environment without jetson
There are three different kinds of peoplenet now One is trained from detectnet_v2 network 2nd is trained from D-DETR network
- NanoOWL vs PeopleNet - Jetson Orin Nano - NVIDIA Developer Forums
PeopleNet is a model that is specialized in detecting people If you need to detect people only, it is likely the better choice NanoOWL is an “Open-Vocabulary” object detection model, that detects objects based on generic prompts like (“a chair”, “a dog”, “a hat”, etc )
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