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android - Snapdragon neural processing- SNPE - Stack Overflow
WEBSep 1, 2021 · For getting multiple outputs, while running snpe-net-run you need to specify the output layers (in addition to input) in the file that is given to --input_list argument. Let's assume outputlayer1 and outputlayer2 are the names of 2 output layers and ~/test/example_input.raw is the path of the input, then the input list file format for the …
Stackoverflow.comqualcomm - Why SNPE SDK is very Slow? - Stack Overflow
WEBSep 16, 2019 · Side Note: I'm currently still testing stuff with deeplab + snpe as well. I noticed that comparing this and TFLITE gpu delegate theres some differences in the output. While snpe in general is about twice as fast theres a lot of segmentation artifacts errors which can result in unusable model.
Stackoverflow.comDoes Qualcomm SNPE work on a linux board? - Stack Overflow
WEBJul 2, 2019 · 1. You need to consult your board vendor/manufacturer and your Linux BSP provider. From the snpe product page, the 820 is listed as supported but it is also mentioned that libOpenCL.so must be present on the device (highlighted in bold below). The Qualcomm Neural Processing SDK supports Qualcomm® Snapdragon™ 855, 845, …
Stackoverflow.comSNPE - How can I predict on a model with two (or more) inputs?
WEBI've built a Keras model with two inputs that I'd like to predict on with snpe on my phone. I've already converted it successfully, it's just the C++ code that I'm having trouble with right now. I'm able to predict on a model with one input with any shape 1D array, but I now have a model that takes two 1D arrays of size 1.
Stackoverflow.comNewest 'snpe' Questions - Stack Overflow
WEBTensorflow version: 2.5 snpe version: 1.51 Using a pre-trained model from the Tensorflow Model Zoo, I am re-training it to detect only one class of object. Exporting the trained model as saved_model
Stackoverflow.comandroid - Qualcomm SNPE block the UI Thread - Stack Overflow
WEBMar 21, 2018 · 3. using the Qualcomm NeturalNetwork SDK. i can run the snpe SDK Example and change to inception_v3 model, works fine. but snpe will block-ui thread in the execute (); i have no way to stop this. android user will get bad UX. i have tryed: low priority thread, job scheduler, etc.
Stackoverflow.comIs there any way to resize input shapes in SNPE (dlc)?
WEBMay 4, 2020 · At the same time, usually it is allowed to change a shape before loading of the model assuming that all input pictures will have different size (but again, same for all pictures) than shapes for which model was trained. For snpe it is snpeBuilder::setInputDimensions If model allow to do reshape and if no bugs in snpe …
Stackoverflow.compb to dlc conversion with snpe fails using a re trained Tensorflow
WEBJul 20, 2021 · Tensorflow version: 2.5 snpe version: 1.51 Using a pre-trained model from the Tensorflow Model Zoo, I am re-training it to detect only one class of object. Exporting the trained model as saved_model
Stackoverflow.comconvert tensorflow .pb to .dlc fail with snpe - Stack Overflow
WEBOct 27, 2017 · The input_dim argument to snpe-tensorflow-to-dlc should be of 3 dimension tensors like below example,
Stackoverflow.comSNPE Model conversion: Syntax for model input with 0 dimensions
WEBMar 29, 2024 · 2. I'm using snpe to convert a NN model from .tflite format to .dlc. Usually models I have converted easily work as it's a simple matter of specifying the dimensions of each input as parameters to the snpe-tflite-to-dlc tool featured in snpe. However, my current model features 2 inputs which are of no dimensions at all.
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