Open valueerrorx opened 1 year ago
@valueerrorx,
Are you using a RPi 3B+ or a RPi 4B?
I assume that you are using these DC installation instructions for Bullseye on your RPi: https://docs.donkeycar.com/guide/robot_sbc/setup_raspberry_pi/
TCIII
RPi 4B .. and yes.. these are the instructions i follow..
@valueerrorx, I believe that you may have installed the 32bit version of Bullseye instead of the 64bit version? TCIII
it is aarch64
this is what i've tried:
wget https://github.com/PINTO0309/Tensorflow-bin/releases/download/v2.9.0/tensorflow-2.9.0-cp39-none-linux_aarch64.whl
pip install tensorflow-2.9.0-cp39-none-linux_aarch64.whl
Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
ERROR: tensorflow-2.9.0-cp39-none-linux_aarch64.whl is not a supported wheel on this platform.
python --version
Python 3.9.2
uname -m
aarch64
arch
aarch64
pip install --upgrade pip
Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Requirement already satisfied: pip in /home/pi/env/lib/python3.9/site-packages (23.3.1)
okay.. this package is for 2.9.0 and the raspi runs 2.9.2.. but it's a .dot release.. shouldn break right?
I've just tried this on my RPi with bullseye and it works without problems. What does uname -a
give you? I see:
(env5) pi@donkeypi:~/projects/donkeycar $ uname -a
Linux donkeypi 6.1.21-v8+ #1642 SMP PREEMPT Mon Apr 3 17:24:16 BST 2023 aarch64 GNU/Linux
Linux piracer 6.1.21-v8+ #1642 SMP PREEMPT Mon Apr 3 17:24:16 BST 2023 aarch64 GNU/Linux
exactly the same... hmmm... i don't get it .. how can this be. wth did i miss
Did you run the usual sudo apt-get update/upgrade
? Maybe if you comment out tensorflow from setup.py and try installing everything else to see if you get some funny versions. Here is the list of packages that gets installed on my RPi when I run the same command:
(env5) pi@donkeypi:~ $ pip list
Package Version Editable project location
-------------------------------- ------------ ---------------------------
absl-py 2.0.0
Adafruit-Blinka 8.25.0
adafruit-circuitpython-busdevice 5.2.6
adafruit-circuitpython-framebuf 1.6.4
adafruit-circuitpython-register 1.9.17
adafruit-circuitpython-requests 2.0.2
adafruit-circuitpython-rplidar 1.2.13
adafruit-circuitpython-ssd1306 2.12.15
adafruit-circuitpython-typing 1.9.5
Adafruit-GPIO 1.0.3
Adafruit-PCA9685 1.0.1
Adafruit-PlatformDetect 3.54.0
Adafruit-PureIO 1.1.11
arandr 0.1.10
astroid 2.5.1
asttokens 2.0.4
astunparse 1.6.3
automationhat 0.2.0
beautifulsoup4 4.9.3
blinker 1.4
blinkt 0.1.2
buttonshim 0.0.2
cachetools 5.3.2
Cap1xxx 0.1.3
certifi 2020.6.20
chardet 4.0.0
click 7.1.2
colorama 0.4.4
colorzero 1.1
cryptography 3.3.2
cupshelpers 1.0
dbus-python 1.2.16
distlib 0.3.6
distro 1.5.0
docopt 0.6.2
docutils 0.16
donkeycar 5.0.dev3 /home/pi/projects/donkeycar
drumhat 0.1.0
envirophat 1.0.0
ExplorerHAT 0.4.2
filelock 3.8.0
Flask 1.1.2
flatbuffers 1.12
fourletterphat 0.1.0
gast 0.4.0
google-auth 2.23.4
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
gpiozero 1.6.2
grpcio 1.59.3
h5py 3.10.0
html5lib 1.1
idna 2.10
importlib-metadata 6.8.0
isort 5.6.4
itsdangerous 1.1.0
jedi 0.18.0
Jinja2 2.11.3
keras 2.9.0
Keras-Preprocessing 1.1.2
lazy-object-proxy 0.0.0
libclang 16.0.6
logilab-common 1.8.1
lxml 4.6.3
Markdown 3.5.1
MarkupSafe 1.1.1
mccabe 0.6.1
microdotphat 0.2.1
mote 0.0.4
motephat 0.0.3
mypy 0.812
mypy-extensions 0.4.3
numpy 1.26.2
oauthlib 3.1.0
opt-einsum 3.3.0
packaging 23.2
paho-mqtt 1.6.1
pandas 2.1.3
pantilthat 0.0.7
parso 0.8.1
pexpect 4.8.0
pgzero 1.2
phatbeat 0.1.1
pianohat 0.1.0
picamera2 0.3.12
pidng 4.0.9
piexif 1.1.3
piglow 1.2.5
pigpio 1.78
Pillow 8.1.2
pip 23.2.1
platformdirs 2.5.4
prettytable 3.9.0
progress 1.6
protobuf 3.19.6
psutil 5.8.0
pyasn1 0.5.1
pyasn1-modules 0.3.0
pycairo 1.16.2
pycups 2.0.1
pyfiglet 1.0.2
pyftdi 0.55.0
pygame 1.9.6
Pygments 2.7.1
PyGObject 3.38.0
pyinotify 0.9.6
PyJWT 1.7.1
pylint 2.7.2
pynmea2 1.19.0
PyOpenGL 3.1.5
pyOpenSSL 20.0.1
PyQt5 5.15.2
PyQt5-sip 12.8.1
pyserial 3.5b0
pysmbc 1.0.23
python-apt 2.2.1
python-dateutil 2.8.2
python-prctl 1.7
pytz 2023.3.post1
pyusb 1.2.1
PyYAML 6.0.1
rainbowhat 0.1.0
reportlab 3.5.59
requests 2.25.1
requests-oauthlib 1.0.0
responses 0.12.1
roman 2.0.0
RPi.GPIO 0.7.0
rsa 4.9
RTIMULib 7.2.1
scrollphat 0.0.7
scrollphathd 1.2.1
Send2Trash 1.6.0b1
sense-hat 2.6.0
setuptools 68.2.2
simple-pid 2.0.0
simplejpeg 1.6.4
simplejson 3.17.2
six 1.16.0
skywriter 0.0.7
sn3218 1.2.7
soupsieve 2.2.1
spidev 3.5
ssh-import-id 5.10
tensorboard 2.9.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.9.0
tensorflow-estimator 2.9.0
tensorflow-io-gcs-filesystem 0.34.0
termcolor 2.3.0
thonny 4.0.1
toml 0.10.1
tornado 6.3.3
touchphat 0.0.1
twython 3.8.2
typed-ast 1.4.2
typing_extensions 4.8.0
tzdata 2023.3
unicornhathd 0.0.4
urllib3 1.26.5
utm 0.7.0
v4l2-python3 0.3.2
virtualenv 20.17.0
wcwidth 0.2.10
webencodings 0.5.1
Werkzeug 1.0.1
wheel 0.41.2
wrapt 1.12.1
zipp 3.17.0
yes i did upgrade everything. i did it three times already from scratch and strictly followed the documentation. it makes no sense to me.. that's why i gave up and tried the robocar image.
everything works on this image.
(except that i have this "waveshare piracer" and they provide their own completely outdated repository for donkey car and with the new version the throttle is not applied to the back motors of the car.
but i think i need to open a new issue here for that problem
I've just tried installing donkeycar for the first time (on a pi4 running bullseye 64bit), and have run into this issue as well.
The list of packages in case it helps:
(env) pi@pi:/ $ pip list Package Version
arandr 0.1.10 astroid 2.5.1 asttokens 2.0.4 automationhat 0.2.0 beautifulsoup4 4.9.3 blinker 1.4 blinkt 0.1.2 buttonshim 0.0.2 Cap1xxx 0.1.3 certifi 2020.6.20 chardet 4.0.0 click 7.1.2 colorama 0.4.4 colorzero 1.1 cryptography 3.3.2 cupshelpers 1.0 dbus-python 1.2.16 distlib 0.3.7 distro 1.5.0 docutils 0.16 drumhat 0.1.0 envirophat 1.0.0 ExplorerHAT 0.4.2 filelock 3.13.1 Flask 1.1.2 fourletterphat 0.1.0 gpiozero 1.6.2 html5lib 1.1 idna 2.10 isort 5.6.4 itsdangerous 1.1.0 jedi 0.18.0 Jinja2 2.11.3 lazy-object-proxy 0.0.0 logilab-common 1.8.1 lxml 4.6.3 MarkupSafe 1.1.1 mccabe 0.6.1 microdotphat 0.2.1 mote 0.0.4 motephat 0.0.3 mypy 0.812 mypy-extensions 0.4.3 numpy 1.19.5 oauthlib 3.1.0 pantilthat 0.0.7 parso 0.8.1 pexpect 4.8.0 pgzero 1.2 phatbeat 0.1.1 pianohat 0.1.0 picamera 1.13 picamera2 0.3.12 pidng 4.0.9 piexif 1.1.3 piglow 1.2.5 pigpio 1.78 Pillow 8.1.2 pip 23.3.1 platformdirs 4.0.0 psutil 5.8.0 pycairo 1.16.2 pycups 2.0.1 pygame 1.9.6 Pygments 2.7.1 PyGObject 3.38.0 pyinotify 0.9.6 PyJWT 1.7.1 pylint 2.7.2 PyOpenGL 3.1.5 pyOpenSSL 20.0.1 PyQt5 5.15.2 PyQt5-sip 12.8.1 pyserial 3.5b0 pysmbc 1.0.23 python-apt 2.2.1 python-prctl 1.7 rainbowhat 0.1.0 reportlab 3.5.59 requests 2.25.1 requests-oauthlib 1.0.0 responses 0.12.1 roman 2.0.0 RPi.GPIO 0.7.0 RTIMULib 7.2.1 scrollphat 0.0.7 scrollphathd 1.2.1 Send2Trash 1.6.0b1 sense-hat 2.6.0 setuptools 68.2.2 simplejpeg 1.6.4 simplejson 3.17.2 six 1.16.0 skywriter 0.0.7 sn3218 1.2.7 soupsieve 2.2.1 spidev 3.5 ssh-import-id 5.10 thonny 4.0.1 toml 0.10.1 touchphat 0.0.1 twython 3.8.2 typed-ast 1.4.2 typing-extensions 3.7.4.3 unicornhathd 0.0.4 urllib3 1.26.5 v4l2-python3 0.3.2 virtualenv 20.24.7 webencodings 0.5.1 Werkzeug 1.0.1 wheel 0.41.3 wrapt 1.12.1
I encountered the same problem, and I found a solution. I checked the information and found that RPI 4B+ is the version of Raspberry Pi Bookworm. It only supports versions of TensorFlow 2.14, 2.13, and 2.12. Later, after changing the version, it can be installed and used correctly. RPI 4B+ supports versions
i explicitly used bullseye.. the problem is that in the python repos where pip is searching for tensorflow tf isnnissing completely. i've searched them manually..
so you installed bookworm and changed the tensorflow version in donkeycar to a supported higher version? i'm unsure if i can follow your explanation
https://github.com/robocarstore/donkeycar-images
my current workaround is flashing this image.. everything works out of the box. no need to install anything.
https://github.com/robocarstore/donkeycar-images
my current workaround is flashing this image.. everything works out of the box. no need to install anything.
I will keep on maintaining this image so pls feel free to report any issue using this image
i try to follow the documentation from here.
i explicitly chose raspian bullseye (legacy) because it seems to be the only version that ist supported the raspberry pi is a raspi 4b 4GB
https://docs.donkeycar.com/guide/robot_sbc/setup_raspberry_pi/
everything went fine until i tried to run the following command:
(env) pi@piracer:~/projects/donkeycar $ pip install -e .[pi]
it fails with:
it seems i can't find a way to install tensorflow inside of my virtual env
any ideas ? thx in advance