Comments (5)
I think if one does a git pull
and then normally start the server, i.e. ./start-server.sh
, it should update the tree inside the image automatically (the only drawback being that it runs pip install
again). I tend to believe that this should be the standard way of doing things (i.e. the docker tree always mirrors the local tree), otherwise there is the risk of conflicts as you mentioned.
from donkeycar.
Actually the way the Dockerfile is configured it should only trigger a pip install
if setup.py changes.
from donkeycar.
Or we could completely switch to using the -v
flag in the startup script (and lose a bit of portability along the way)
from donkeycar.
Are there any downsides to mapping the directory (just like mydonkey) to docker image? That way, one can do git pull without needing to refresh/rebuild docker image.
from donkeycar.
The new version doesn't require docker as everything is run on the pi.
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Related Issues (20)
- [tf_2_9] TensorFlow was not built with CUDA kernel binaries compatible with compute capability 5.3. HOT 5
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- Add basic authorization to the web ui and websocket api
- Use deep learning autopilot with gps autopilot HOT 3
- Implement a global path optimizer for path follow template HOT 1
- Remove albumentations HOT 4
- Columns and DataType Not Explicitly Set on line 112 of database.py
- Memory not Freed on line 390 of base.py HOT 1
- Update telemetry to support username/password authentication
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- Release testing for Donkeycar 5.0.dev3 HOT 23
- Support 'shifting' when training a model
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- [Question] Deploying Stable Baselines 3 PPO-Trained Model on Jetson Nano for Real-Time Execution
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- Accelerate tensorflow on Mac HOT 6
- donkey createcar --path ~/mycar using donkey v3.1.0 ... Illegal instruction (core dumped) HOT 2
- ig -a HOT 1
- error: (-215) scn == 3 || scn == 4 in function cvtColor (JP=4.5.1)(DC=4.2.1) HOT 8
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