pycoral | Python API for ML | Machine Learning library
kandi X-RAY | pycoral Summary
kandi X-RAY | pycoral Summary
This repository contains an easy-to-use Python API that helps you run inferences and perform on-device transfer learning with TensorFlow Lite models on Coral devices. To install the prebuilt PyCoral library, see the instructions at coral.ai/software/. Note: If you're on a Debian system, be sure to install this library from apt-get and not from pip. Using pip install is not guaranteed compatible with the other Coral libraries that you must install from apt-get. For details, see coral.ai/software/.
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Top functions reviewed by kandi - BETA
- Trains the model
- Yield a test image
- Create a tflite Interpreter object
- Return a list of image paths
- Extract embeddings from images
- Runs the given model
- Get the input tensor
- Return the input details for the given key
- Run two TFUses on the same model
- Opens an image file
- Read a label file
- Resize input tensor
- Generate tile locations
- Runs an inference job
- Read a reference model from a csv file
- Prepare images
- Reposition bounding box
- Reads and train and test sets
- Return list of connected devices
- Convert a label to a color image
- Push input tensors to the runner
- Run inference
- R Compute the suppression of a non - maximum suppression
- Prepare a benchmark for training
- Run two models
- Create a TFLite Interpreter object
- Parse command line arguments
pycoral Key Features
pycoral Examples and Code Snippets
Community Discussions
Trending Discussions on pycoral
QUESTION
I'm trying to get a YOLOv5s model to run on a Coral EdgeTPU. Ive followed the instructions in the YOLOv5 repository for conversion from the yolov5s.pt model to the yolov5s-int8_edgetpu.tflite model.
After cloning the pycoral repository, they provide a detect_image.py script. When using their model, the script executes with no errors.
If I run the same script with my yolov5s-int8_edgetpu.tflite model I get this error:
...ANSWER
Answered 2022-Feb-04 at 14:57Since the Yolov5s model has a different input file than the EfficientDet, the output tensor will be different. The trick here is understanding how to process this output tensor.
Fortunately, Ultralytics/Yolov5 held an export competition where the goal was to execute Yolov5 models on EdgeTPU devices.
This guy Josh won the coral devboard section. He wrote python library to process these wonky tensor outputs from Yolov5s models. Here is the repo. The real processing of the output tensor is done in his non-max-suppression code.
I've forked his repo and added the ability to execute/process these Yolov5s models on desktops.
Thanks so much Josh!
QUESTION
I'm trying to run a quantized and Edge-TPU-compiled Tensorflow object detection model on a Coral Dev Board.
My Code:
...ANSWER
Answered 2021-Dec-28 at 21:28It seems to be a bug in the PyCoral API. To solve the issue, I replaced the last line from the "detect.py"-file (in my case located in "/usr/lib/python3/dist-packages/pycoral/adapters/detect.py") with this updated line:
return [make(i) for i in range(len(scores)) if scores[i] >= score_threshold]
QUESTION
I am trying to evaluate a Raspberry Pi performance with a Google Goral Edge TPU USB device and without it for an image classification task on a video file. I have managed to evaluate the peformance using the Edge TPU USB device already. However, when I try running a tensorflow lite code to run inference it gets me an error that tells me I need to plugin the device:
...ANSWER
Answered 2021-Jul-16 at 09:20I recently came into this for a thesis supervision. We tested face detection in a raspberry pi 4 with Coral USB an without (inference on rpi CPU). Are you using the same model file for both? If this is the case, then this is the problem. You need to use the bare tflite model for the CPU inference and the TPU-compiled model for the inference with TPU. You can take a look at this repo where you can find the code I was mentioned before (it's not well documented but it's working, look at the inference CPU and inference CORAL files).
QUESTION
I am trying to install the Coral Edge TPU software on MacOS 11.5 by following these instructions:
https://coral.ai/docs/accelerator/get-started/#3-run-a-model-on-the-edge-tpu
But by the time I enter the following command into the console:
...ANSWER
Answered 2021-Jun-04 at 03:30I have the same issue on Windows 10. If you are using Python 3.9.x, and used the command pip3 install --extra-index-url https://google-coral.github.io/py-repo/ pycoral to install pycoral, then you will be installing a very old version of pycoral which does not have pycoral.adapters module. I think this is because the pycoral repo currently (June 2021) does not have the package built for Python 3.9.x.
The solution is to either build and install pycoral from source on your Mac using Python 3.9.x, or downgrade Python to 3.8.x and install pycoral again.
QUESTION
Today I started to use my Coral Dev Board and followed these instructions.
When I try to run the demo app with edgetpu_demo --stream, I get the following error message:
-bash: edgetpu_demo: command not found
Running a model using the PyCoral API works fine.
Is there a new command for the demo app or did I do something wrong?
...ANSWER
Answered 2021-Feb-04 at 04:18The edgetpu_demo command does not work because the Edge TPU API is deprecated. The Get started with the Dev Board guide is out of date in this case because the necessary modules to execute edgetpu commands are not installed.
Here you can find the packages that would have to be installed manually afterwards. However, these can no longer be installed from the official sources. Instead you could install the old packages from the archive.
Note: The Edge TPU API has been replaced by the PyCoral API and should be preferred instead.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install pycoral
You can use pycoral like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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