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bitsy-ai / rpi-object-tracking

Object tracking tutorial using TensorFlow / TensorFlow Lite, Raspberry Pi, Pi Camera, and a Pimoroni Pan-Tilt Hat.
https://medium.com/@grepLeigh/real-time-object-tracking-with-tensorflow-raspberry-pi-and-pan-tilt-hat-2aeaef47e134
MIT License
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Error encountered when trying to use Google Coral accelerator #37

Closed GBW48 closed 4 years ago

GBW48 commented 4 years ago

Description

Object detection using Google Coral accelerator (following README.md instructions for rpi-deep-pantilt version 1.2) fails and does not display image. Please note standard object detection without using the accelerator works ("rpi-deep-pantilt detect --rotation 180"). I repeated the deep-pan-tilt build and object detection twice -- with the same result.

When I issue "rpi-deep-pantilt detect --edge-tpu --rotation 180", I get two errors with no image displayed on the RPi.

Fist error:

Traceback (most recent call last): File "/home/pi/.venv/bin/rpi-deep-pantilt", line 10, in sys.exit(main()) File "/home/pi/.venv/lib/python3.7/site-packages/rpi_deep_pantilt/cli.py", line 172, in main cli() File "/home/pi/.venv/lib/python3.7/site-packages/click/core.py", line 829, in call return self.main(args, kwargs) File "/home/pi/.venv/lib/python3.7/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/home/pi/.venv/lib/python3.7/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/pi/.venv/lib/python3.7/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "/home/pi/.venv/lib/python3.7/site-packages/click/core.py", line 610, in invoke return callback(args, **kwargs) File "/home/pi/.venv/lib/python3.7/site-packages/rpi_deep_pantilt/cli.py", line 96, in detect run_stationary_detect(labels, model_cls, rotation) File "/home/pi/.venv/lib/python3.7/site-packages/rpi_deep_pantilt/detect/camera.py", line 80, in run_stationary_detect model = model_cls() File "/home/pi/.venv/lib/python3.7/site-packages/rpi_deep_pantilt/detect/ssd_mobilenet_v3_coco.py", line 65, in init tf.lite.experimental.load_delegate(self.EDGETPU_SHARED_LIB) File "/home/pi/.venv/lib/python3.7/site-packages/tensorflow/lite/python/interpreter.py", line 161, in load_delegate delegate = Delegate(library, options) File "/home/pi/.venv/lib/python3.7/site-packages/tensorflow/lite/python/interpreter.py", line 90, in init self._library = ctypes.pydll.LoadLibrary(library) File "/usr/lib/python3.7/ctypes/init.py", line 434, in LoadLibrary return self._dlltype(name) File "/usr/lib/python3.7/ctypes/init.py", line 356, in init self._handle = _dlopen(self._name, mode) OSError: libedgetpu.so.1: cannot open shared object file: No such file or directory Exception ignored in: <function Delegate.del at 0xa5f3bfa8>

Second error:

Traceback (most recent call last): File "/home/pi/.venv/lib/python3.7/site-packages/tensorflow/lite/python/interpreter.py", line 125, in del if self._library is not None: AttributeError: 'Delegate' object has no attribute '_library'

What I Did

I freshly installed Raspbian 10 (buster) on a high speed 32 gig SD card. I then followed the README.md instructions. I only had one issue after issuing the "pip install https://github.com/leigh-johnson/Tensorflow-bin/releases/download/v2.2.0/tensorflow-2.2.0-cp37-cp37m-linux_armv7l.whl" command.

Here is the error:

Building wheels for collected packages: grpcio Running setup.py bdist_wheel for grpcio ... error Complete output from command /home/pi/.venv/bin/python3 -u -c "import setuptools, tokenize;file='/tmp/pip-install-tjyl9jcz/grpcio/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" bdist_wheel -d /tmp/pip-wheel-okaw4p5s --python-tag cp37: Found cython-generated files... usage: -c [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...] or: -c --help [cmd1 cmd2 ...] or: -c --help-commands or: -c cmd --help

error: invalid command 'bdist_wheel'

Failed building wheel for grpcio Running setup.py clean for grpcio Failed to build grpcio

Otherwise, I encountered no problems with the install. Please note, I was careful to make all recommended changes config.txt and Raspberry Pi interfaces.

leigh-johnson commented 4 years ago

Thanks for the bug report @GBW48, sorry this didn't work for you!

Looks like your TensorFlow installation didn't finish because you don't have the wheel Python package installed. I think my Coral installation instructions are out of date too. Try the following to re-install, let me know how it goes. 🤞

  1. Install wheel and reinstall TensorFlow

(.venv)$ pip install wheel && pip install --force-reinstall https://github.com/leigh-johnson/Tensorflow-bin/releases/download/v2.2.0/tensorflow-2.2.0-cp37-cp37m-linux_armv7l.whl

  1. Install/reinstall Coral's libedgetpu. 
$ echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list

$ curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
$ sudo apt-get update
$ sudo apt-get install libedgetpu1-std
  1. Re-install Coral's tflite_runtime

(.venv)$ pip install https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37-cp37m-linux_armv7l.whl

GBW48 commented 4 years ago

Hi Leigh, Thanks so much for the quick response. With your suggested changes, I am still getting run-time errors and I'm unable to display objects using the Coral accelerator.

I tried your suggestions on a fresh build. The wheel and TensorFlow installation appeared to work. Here are the results of the install.

(.venv) pi@raspberrypi:~ $ pip install wheel Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple Collecting wheel Downloading https://files.pythonhosted.org/packages/8c/23/848298cccf8e40f5bbb5 9009b32848a4c38f4e7f3364297ab3c3e2e2cd14/wheel-0.34.2-py2.py3-none-any.whl Installing collected packages: wheel Successfully installed wheel-0.34.2 (.venv) pi@raspberrypi:~ $ (.venv) pi@raspberrypi:~ $ pip install --force-reinstall https://github.com/leig h-johnson/Tensorflow-bin/releases/download/v2.2.0/tensorflow-2.2.0-cp37-cp37m-li nux_armv7l.whl Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple Collecting tensorflow==2.2.0 from https://github.com/leigh-johnson/Tensorflow-bi n/releases/download/v2.2.0/tensorflow-2.2.0-cp37-cp37m-linux_armv7l.whl Downloading https://github.com/leigh-johnson/Tensorflow-bin/releases/download/ v2.2.0/tensorflow-2.2.0-cp37-cp37m-linux_armv7l.whl (109.3MB) 100% |████████████████████████████████| 109.3MB 4.0kB/s Collecting astunparse==1.6.3 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/2b/03/13dde6512ad7b4557eb7 92fbcf0c653af6076b81e5941d36ec61f7ce6028/astunparse-1.6.3-py2.py3-none-any.whl Collecting six>=1.12.0 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/ee/ff/48bde5c0f013094d729f e4b0316ba2a24774b3ff1c52d924a8a4cb04078a/six-1.15.0-py2.py3-none-any.whl Collecting absl-py>=0.7.0 (from tensorflow==2.2.0) Downloading https://www.piwheels.org/simple/absl-py/absl_py-0.9.0-py3-none-any .whl (121kB) 100% |████████████████████████████████| 122kB 455kB/s Collecting termcolor>=1.1.0 (from tensorflow==2.2.0) Downloading https://www.piwheels.org/simple/termcolor/termcolor-1.1.0-py3-none -any.whl Collecting grpcio>=1.8.6 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/5e/29/1bd649737e427a6bb850 174293b4f2b72ab80dd49462142db9b81e1e5c7b/grpcio-1.30.0.tar.gz (19.7MB) 100% |████████████████████████████████| 19.7MB 23kB/s Collecting wheel>=0.26; python_version >= "3" (from tensorflow==2.2.0) Using cached https://files.pythonhosted.org/packages/8c/23/848298cccf8e40f5bbb 59009b32848a4c38f4e7f3364297ab3c3e2e2cd14/wheel-0.34.2-py2.py3-none-any.whl Collecting google-pasta>=0.1.8 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/a3/de/c648ef6835192e6e2cc0 3f40b19eeda4382c49b5bafb43d88b931c4c74ac/google_pasta-0.2.0-py3-none-any.whl (57 kB) 100% |████████████████████████████████| 61kB 1.9MB/s Collecting keras-preprocessing>=1.1.0 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/79/4c/7c3275a01e12ef9368a8 92926ab932b33bb13d55794881e3573482b378a7/Keras_Preprocessing-1.1.2-py2.py3-none- any.whl (42kB) 100% |████████████████████████████████| 51kB 4.2MB/s Collecting protobuf>=3.8.0 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/47/90/27eac528bb6871336e86 ed8bcbb72a9b412a4020bf69bb7be71d40e5eab0/protobuf-3.12.2-py2.py3-none-any.whl (4 43kB) 100% |████████████████████████████████| 450kB 985kB/s Collecting tensorflow-estimator<2.3.0,>=2.2.0 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/a4/f5/926ae53d6a226ec0fda5 208e0e581cffed895ccc89e36ba76a8e60895b78/tensorflow_estimator-2.2.0-py2.py3-none -any.whl (454kB) 100% |████████████████████████████████| 460kB 977kB/s Collecting wrapt>=1.11.1 (from tensorflow==2.2.0) Downloading https://www.piwheels.org/simple/wrapt/wrapt-1.12.1-cp37-cp37m-linu x_armv7l.whl (68kB) 100% |████████████████████████████████| 71kB 318kB/s Collecting scipy==1.4.1; python_version >= "3" (from tensorflow==2.2.0) Downloading https://www.piwheels.org/simple/scipy/scipy-1.4.1-cp37-cp37m-linux _armv7l.whl (50.7MB) 100% |████████████████████████████████| 50.7MB 9.2kB/s Collecting opt-einsum>=2.3.2 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/63/a5/e6c07b08b934831ccb8c 98ee335e66b7761c5754ee3cabfe4c11d0b1af28/opteinsum-3.2.1-py3-none-any.whl (63kB ) 100% |████████████████████████████████| 71kB 4.0MB/s Collecting h5py<2.11.0,>=2.10.0 (from tensorflow==2.2.0) Downloading https://www.piwheels.org/simple/h5py/h5py-2.10.0-cp37-cp37m-linux armv7l.whl (4.7MB) 100% |████████████████████████████████| 4.7MB 98kB/s Collecting numpy<2.0,>=1.16.0 (from tensorflow==2.2.0) Downloading https://www.piwheels.org/simple/numpy/numpy-1.19.0-cp37-cp37m-linu x_armv7l.whl (10.5MB) 100% |████████████████████████████████| 10.5MB 33kB/s Collecting gast==0.3.3 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/d6/84/759f5dd23fec8ba71952 d97bcc7e2c9d7d63bdc582421f3cd4be845f0c98/gast-0.3.3-py2.py3-none-any.whl Collecting tensorboard<2.3.0,>=2.2.0 (from tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/1d/74/0a6fcb206dcc72a6da9a 62dd81784bfdbff5fedb099982861dc2219014fb/tensorboard-2.2.2-py3-none-any.whl (3.0 MB) 100% |████████████████████████████████| 3.0MB 151kB/s Collecting setuptools (from protobuf>=3.8.0->tensorflow==2.2.0) Using cached https://files.pythonhosted.org/packages/e9/93/4860cebd5ad3ff2664a d3c966490ccb46e3b88458b2095145bca11727ca4/setuptools-47.3.1-py3-none-any.whl Collecting google-auth-oauthlib<0.5,>=0.4.1 (from tensorboard<2.3.0,>=2.2.0->ten sorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/7b/b8/88def36e74bee9fce511 c9519571f4e485e890093ab7442284f4ffaef60b/google_auth_oauthlib-0.4.1-py2.py3-none -any.whl Collecting markdown>=2.6.8 (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/a4/63/eaec2bd025ab48c754b5 5e8819af0f6a69e2b1e187611dd40cbbe101ee7f/Markdown-3.2.2-py3-none-any.whl (88kB) 100% |████████████████████████████████| 92kB 3.7MB/s Collecting requests<3,>=2.21.0 (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.2. 0) Downloading https://files.pythonhosted.org/packages/45/1e/0c169c6a5381e241ba74 04532c16a21d86ab872c9bed8bdcd4c423954103/requests-2.24.0-py2.py3-none-any.whl (6 1kB) 100% |████████████████████████████████| 71kB 4.1MB/s Collecting tensorboard-plugin-wit>=1.6.0 (from tensorboard<2.3.0,>=2.2.0->tensor flow==2.2.0) Downloading https://files.pythonhosted.org/packages/51/cd/a0c1f9e4582ea64dddf7 6c1b808b318d01e3b858a51c715bffab1016ecc7/tensorboard_plugin_wit-1.6.0.post3-py3- none-any.whl (777kB) 100% |████████████████████████████████| 778kB 573kB/s Collecting werkzeug>=0.11.15 (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/cc/94/5f7079a0e00bd6863ef8 f1da638721e9da21e5bacee597595b318f71d62e/Werkzeug-1.0.1-py2.py3-none-any.whl (29 8kB) 100% |████████████████████████████████| 307kB 1.5MB/s Collecting google-auth<2,>=1.6.3 (from tensorboard<2.3.0,>=2.2.0->tensorflow==2. 2.0) Downloading https://files.pythonhosted.org/packages/21/57/d706964a7e4056f3f224 4e16705388c11631fbb53d3e2d2a2d0fbc24d470/google_auth-1.18.0-py2.py3-none-any.whl (90kB) 100% |████████████████████████████████| 92kB 3.6MB/s Collecting requests-oauthlib>=0.7.0 (from google-auth-oauthlib<0.5,>=0.4.1->tens orboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/a3/12/b92740d845ab62ea4edf 04d2f4164d82532b5a0b03836d4d4e71c6f3d379/requests_oauthlib-1.3.0-py2.py3-none-an y.whl Collecting importlib-metadata; python_version < "3.8" (from markdown>=2.6.8->ten sorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/98/13/a1d703ec396ade42c1d3 3df0e1cb691a28b7c08b336a5683912c87e04cd7/importlib_metadata-1.6.1-py2.py3-none-a ny.whl Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 (from requests<3,>=2.21.0->te nsorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/e1/e5/df302e8017440f111c11 cc41a6b432838672f5a70aa29227bf58149dc72f/urllib3-1.25.9-py2.py3-none-any.whl (12 6kB) 100% |████████████████████████████████| 133kB 3.2MB/s Collecting certifi>=2017.4.17 (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2 .0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/5e/c4/6c4fe722df5343c33226 f0b4e0bb042e4dc13483228b4718baf286f86d87/certifi-2020.6.20-py2.py3-none-any.whl (156kB) 100% |████████████████████████████████| 163kB 2.6MB/s Collecting chardet<4,>=3.0.2 (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2. 0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/bc/a9/01ffebfb562e4274b648 7b4bb1ddec7ca55ec7510b22e4c51f14098443b8/chardet-3.0.4-py2.py3-none-any.whl (133 kB) 100% |████████████████████████████████| 143kB 3.1MB/s Collecting idna<3,>=2.5 (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->te nsorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/89/e3/afebe61c546d18fb1709 a61bee788254b40e736cff7271c7de5de2dc4128/idna-2.9-py2.py3-none-any.whl (58kB) 100% |████████████████████████████████| 61kB 3.7MB/s Collecting cachetools<5.0,>=2.0.0 (from google-auth<2,>=1.6.3->tensorboard<2.3.0 ,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/b3/59/524ffb454d05001e2be7 4c14745b485681c6ed5f2e625f71d135704c0909/cachetools-4.1.0-py3-none-any.whl Collecting pyasn1-modules>=0.2.1 (from google-auth<2,>=1.6.3->tensorboard<2.3.0, >=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/95/de/214830a981892a3e286c 3794f41ae67a4495df1108c3da8a9f62159b9a9d/pyasn1_modules-0.2.8-py2.py3-none-any.w hl (155kB) 100% |████████████████████████████████| 163kB 2.7MB/s Collecting rsa<5,>=3.1.4; python_version >= "3" (from google-auth<2,>=1.6.3->ten sorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/1c/df/c3587a667d6b308fadc9 0b99e8bc8774788d033efcc70f4ecaae7fad144b/rsa-4.6-py3-none-any.whl (47kB) 100% |████████████████████████████████| 51kB 3.8MB/s Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.7.0->google-auth-oauthlib< 0.5,>=0.4.1->tensorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/05/57/ce2e7a8fa7c0afb54a05 81b14a65b56e62b5759dbc98e80627142b8a3704/oauthlib-3.1.0-py2.py3-none-any.whl (14 7kB) 100% |████████████████████████████████| 153kB 2.7MB/s Collecting zipp>=0.5 (from importlib-metadata; python_version < "3.8"->markdown> =2.6.8->tensorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/b2/34/bfcb43cc0ba81f527bc4 f40ef41ba2ff4080e047acb0586b56b3d017ace4/zipp-3.1.0-py3-none-any.whl Collecting pyasn1<0.5.0,>=0.4.6 (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6 .3->tensorboard<2.3.0,>=2.2.0->tensorflow==2.2.0) Downloading https://files.pythonhosted.org/packages/62/1e/a94a8d635fa3ce4cfc7f 506003548d0a2447ae76fd5ca53932970fe3053f/pyasn1-0.4.8-py2.py3-none-any.whl (77kB ) 100% |████████████████████████████████| 81kB 3.7MB/s Building wheels for collected packages: grpcio Running setup.py bdist_wheel for grpcio ... done Stored in directory: /home/pi/.cache/pip/wheels/1e/e9/13/2ce6c99171a977bad2f9a 4bccfa596a6e7ea060b9fbff51bc3 Successfully built grpcio Installing collected packages: wheel, six, astunparse, absl-py, termcolor, grpci o, google-pasta, numpy, keras-preprocessing, setuptools, protobuf, tensorflow-es timator, wrapt, scipy, opt-einsum, h5py, gast, cachetools, pyasn1, pyasn1-module s, rsa, google-auth, urllib3, certifi, chardet, idna, requests, oauthlib, reques ts-oauthlib, google-auth-oauthlib, zipp, importlib-metadata, markdown, tensorboa rd-plugin-wit, werkzeug, tensorboard, tensorflow Found existing installation: wheel 0.34.2 Uninstalling wheel-0.34.2: Successfully uninstalled wheel-0.34.2 Found existing installation: setuptools 47.3.1 Uninstalling setuptools-47.3.1: Successfully uninstalled setuptools-47.3.1 Successfully installed absl-py-0.9.0 astunparse-1.6.3 cachetools-4.1.0 certifi-2 020.6.20 chardet-3.0.4 gast-0.3.3 google-auth-1.18.0 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 grpcio-1.30.0 h5py-2.10.0 idna-2.9 importlib-metadata-1.6.1 k eras-preprocessing-1.1.2 markdown-3.2.2 numpy-1.19.0 oauthlib-3.1.0 opt-einsum-3 .2.1 protobuf-3.12.2 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.24.0 requests- oauthlib-1.3.0 rsa-4.6 scipy-1.4.1 setuptools-47.3.1 six-1.15.0 tensorboard-2.2. 2 tensorboard-plugin-wit-1.6.0.post3 tensorflow-2.2.0 tensorflow-estimator-2.2.0 termcolor-1.1.0 urllib3-1.25.9 werkzeug-1.0.1 wheel-0.34.2 wrapt-1.12.1 zipp-3. 1.0 (.venv) pi@raspberrypi:~ $

The install of Coral's libedgetpu appears to have errors. Here are the results of the install.

.venv) pi@raspberrypi:~ $ (.venv) pi@raspberrypi:~ $ echo "deb https://packages.cloud.google.com/apt coral -edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list deb https://packages.cloud.google.com/apt coral-edgetpu-stable main (.venv) pi@raspberrypi:~ $ (.venv) pi@raspberrypi:~ $ curl https://packages.cloud.google.com/apt/doc/apt-ke y.gpg | sudo apt-key add - % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 1461 100 1461 0 0 9938 0 --:--:-- --:--:-- --:--:-- 10006 gpg: no valid OpenPGP data found. (.venv) pi@raspberrypi:~ $ (.venv) pi@raspberrypi:~ $ sudo apt-get update Hit:1 http://archive.raspberrypi.org/debian buster InRelease Hit:2 http://raspbian.raspberrypi.org/raspbian buster InRelease Get:3 https://packages.cloud.google.com/apt coral-edgetpu-stable InRelease [6,33 2 B] Err:3 https://packages.cloud.google.com/apt coral-edgetpu-stable InRelease The following signatures couldn't be verified because the public key is not av ailable: NO_PUBKEY 6A030B21BA07F4FB Reading package lists... Done W: GPG error: https://packages.cloud.google.com/apt coral-edgetpu-stable InRelea se: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 6A030B21BA07F4FB E: The repository 'https://packages.cloud.google.com/apt coral-edgetpu-stable In Release' is not signed. N: Updating from such a repository can't be done securely, and is therefore disa bled by default. N: See apt-secure(8) manpage for repository creation and user configuration deta ils. (.venv) pi@raspberrypi:~ $ (.venv) pi@raspberrypi:~ $ sudo apt-get install libedgetpu1-std Reading package lists... Done Building dependency tree Reading state information... Done E: Unable to locate package libedgetpu1-std (.venv) pi@raspberrypi:~ $

The install or Coral's tflite_runtime appeared to work. Here are the results of the install.

(.venv) pi@raspberrypi:~ $ (.venv) pi@raspberrypi:~ $ pip install https://dl.google.com/coral/python/tflite _runtime-2.1.0.post1-cp37-cp37m-linux_armv7l.whl Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple Collecting tflite-runtime==2.1.0.post1 from https://dl.google.com/coral/python/t flite_runtime-2.1.0.post1-cp37-cp37m-linux_armv7l.whl Downloading https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37 -cp37m-linux_armv7l.whl (1.8MB) 100% |████████████████████████████████| 1.8MB 231kB/s Requirement already satisfied: numpy>=1.12.1 in ./.venv/lib/python3.7/site-packa ges (from tflite-runtime==2.1.0.post1) (1.19.0) Installing collected packages: tflite-runtime Successfully installed tflite-runtime-2.1.0.post1 (.venv) pi@raspberrypi:~ $

I confirmed that object detection using the "rpi-deep-pantilt detect --rotation 180" command worked. However, when I ran "rpi-deep-pantilt detect --rotation 180 --edge-tpu" the command failed with two errors:

Thanks in advance. I really appreciate your help with this issue...

GBW48 commented 4 years ago

Hi Leigh, I just wanted to let you know that I tried your fix for the Coral runtime error. Unfortunately, the suggested changes did not work. I posted the results on GitHub.

When you have an opportunity, I’d appreciate it if you could look into the Coral runtime issue. Thanks in advance! ...Gary White

------ Original Message ------

From: Leigh Johnson To: leigh-johnson/rpi-deep-pantilt Cc: GBW48, Mention Sent: June 24, 2020 at 10:53 PM Subject: Re: [leigh-johnson/rpi-deep-pantilt] Error encountered when trying to use Google Coral accelerator (#37)

Thanks for the bug report @GBW48 (https://github.com/GBW48), sorry this didn't work for you!

Looks like your TensorFlow installation didn't finish because you don't have the wheel Python package installed. I think my Coral installation instructions are out of date too. Try the following to re-install, let me know how it goes. 🤞

Let me know how it goes a (with your virtual environment active) to reinstall everything

Install wheel and reinstall TensorFlow

(.venv)$ pip install wheel && pip install --force-reinstall https://github.com/leigh-johnson/Tensorflow-bin/releases/download/v2.2.0/tensorflow-2.2.0-cp37-cp37m-linux_armv7l.whl

Install/reinstall Coral's libedgetpu.

$ echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list $ curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add - $ sudo apt-get update $ sudo apt-get install libedgetpu1-std

Re-install Coral's tflite_runtime

(.venv)$ pip install https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37-cp37m-linux_armv7l.whl

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub (https://github.com/leigh-johnson/rpi-deep-pantilt/issues/37#issuecomment-649183139), or unsubscribe (https://github.com/notifications/unsubscribe-auth/AJ6UNZBY42SPR5E2MIFTGMTRYK33PANCNFSM4OHKDX7Q).

GBW48 commented 4 years ago

Hi Leigh, I reran your instructions for the install/reinstall of Coral's libedgetpu. This time there no errors. After a reboot, I was able to successfully use the Coral accelerator to display and track both objects and faces. Every thing worked!

Thanks so much for creating such an excellent, well conceived and documented project! What a wonderful way to learn about the capabilities of TensorFlow! ...Gary White

P.S. I'm not sure why the second attempt to apply your fix worked, while the first attempt failed. I'm including the console log for the second install. Perhaps, you might be able to figure out the reason for the failure, if you look at the June 25, 2020 console log associated with the fist installation of the fix.

(.venv) pi@raspberrypi:~ $ echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list

deb https://packages.cloud.google.com/apt coral-edgetpu-stable main

(.venv) pi@raspberrypi:~ $ curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -

% Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 653 100 653 0 0 4766 0 --:--:-- --:--:-- --:--:-- 4766 OK

(.venv) pi@raspberrypi:~ $ sudo apt-get update

Get:1 http://archive.raspberrypi.org/debian buster InRelease [32.6 kB] Get:2 http://raspbian.raspberrypi.org/raspbian buster InRelease [15.0 kB] Get:3 https://packages.cloud.google.com/apt coral-edgetpu-stable InRelease [6,332 B] Get:4 http://raspbian.raspberrypi.org/raspbian buster/main armhf Packages [13.0 MB] Get:5 http://archive.raspberrypi.org/debian buster/main armhf Packages [330 kB] Get:6 https://packages.cloud.google.com/apt coral-edgetpu-stable/main armhf Packages [1,172 B] Fetched 13.4 MB in 7s (2,019 kB/s) Reading package lists... Done

(.venv) pi@raspberrypi:~ $ sudo apt-get install libedgetpu1-std

Reading package lists... Done Building dependency tree Reading state information... Done The following package was automatically installed and is no longer required: rpi-eeprom-images Use 'sudo apt autoremove' to remove it. The following NEW packages will be installed: libedgetpu1-std 0 upgraded, 1 newly installed, 0 to remove and 8 not upgraded. Need to get 274 kB of archives. After this operation, 624 kB of additional disk space will be used. Get:1 https://packages.cloud.google.com/apt coral-edgetpu-stable/main armhf libedgetpu1-std armhf 14.0 [274 kB] Fetched 274 kB in 0s (642 kB/s) Selecting previously unselected package libedgetpu1-std:armhf. (Reading database ... 96755 files and directories currently installed.) Preparing to unpack .../libedgetpu1-std_14.0_armhf.deb ... Unpacking libedgetpu1-std:armhf (14.0) ... Setting up libedgetpu1-std:armhf (14.0) ... Processing triggers for libc-bin (2.28-10+rpi1) ...

I then re-installed Coral's tflite_runtime which also worked. Here are the results: (.venv) pi@raspberrypi:~ $ pip install https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37-cp37m-linux_armv7l.whl

Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple Requirement already satisfied: tflite-runtime==2.1.0.post1 from https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37-cp37m-linux_armv7l.whl in ./.venv/lib/python3.7/site-packages (2.1.0.post1) Requirement already satisfied: numpy>=1.12.1 in ./.venv/lib/python3.7/site-packages (from tflite-runtime==2.1.0.post1) (1.19.0)

GBW48 commented 4 years ago

Sorry, I closed this issue by mistake.

leigh-johnson commented 4 years ago

@GBW48 Woooo, glad that worked for you Gary! Thanks for including logs of your second go. At a glance, I'm not sure what's different. 🤔

I'll prioritize getting installation a bit better scripted/automated. Right now, there are a lot of manual steps that make it tedious to reproduce a working environment. I've been getting by with some Ansible playbooks for my own release testing, but they're too crufty and personal to release for general use.