Comments (3)
Hello!
Please do not use or install https://github.com/penny4860/Yolo-digit-detector --- this is an outdated version and it is not supported.
Additionally, when you install aXeleRate with pip install git+https://github.com/AIWintermuteAI/aXeleRate
it should automatically download and install
tensorflow>=1.15.0,<2.0.0
keras==2.3.1
as specified in requirements.txt file here https://github.com/AIWintermuteAI/aXeleRate/blob/master/requirements.txt
Earlier versions are not supported.
The error that you're getting is related to the fact that you have tried using outdated script with newer config file.
Again, please follow the tutorial exactly and DO NOT download outdated script. That should resolve your problem. Please respond if your issue has been solved.
from axelerate.
Hello,
I managed to get it working with a slightly different approach
I did the following commands in order to work:
pip install git+https://github.com/AIWintermuteAI/aXeleRate
git clone https://github.com/AIWintermuteAI/aXeleRate.git
cd aXeleRate
cd axelerate
python train.py -c ../configs/raccoon_detector.json
I am not sure how to use train.py without the 2nd git and cd and i would be thankful if you could explain it please.
Best regards,
Stanko Stankov
from axelerate.
Ah, I see. There was a bit of confusion here I suppose, I changed the article to say
Install aXeleRate on your local machine with
pip install git+https://github.com/AIWintermuteAI/aXeleRate
And then run this to download scripts you will need for training and inference:
git clone https://github.com/AIWintermuteAI/aXeleRate.git
this now. Currently aXeleRate doesn't have a command line interface, which means that git cloning repository is necessary for training and inference (unless you write your own training script using aXeleRate classes and functions of course).
Glad that everything worked! Closing the issue now.
from axelerate.
Related Issues (20)
- 是否支持把没有目标的空背景和标签输入训练? HOT 2
- Does training with negative samples(pictures without objects of interest) increase accuracy? HOT 6
- Can the aXeleRate support the format? HOT 1
- k210 segnet HOT 1
- json.decoder.JSONDecodeError: Expecting ',' delimiter: line 35 column 2 (char 1325) HOT 5
- Run in Sipeed Maix Bit HOT 6
- Cannot convert tf to onnx in object detection HOT 2
- Training person detector with pascal_20_detection dataset error HOT 9
- tensorflow 2.5 error! HOT 1
- Support for custom input_size no work in kmodel HOT 4
- [unstable branch] validation frequency adding to config.json HOT 1
- [unstable branch] yolo training quantize or not can be switched by config.json HOT 1
- [unstable branch] yolo k210 converter failed while nncase compile and YOLOv3 convert incorrectly HOT 1
- Threads Error HOT 1
- The loss is not converge when training detector on VOC 2012 HOT 2
- When class names more than one, the mAP is false? HOT 5
- How calculate anchors by kmeans? HOT 2
- Multi Object Detect Is Wrong! HOT 2
- Loading kmodel on MaixPy crashing device HOT 25
- ValueError: Invalid value for argument filters. Expected a strictly positive value. Received filters=0. HOT 2
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