Comments (2)
keck91
commented on June 17, 2024
BTW, I am trying to install your modified caffe with CUDNN and OpenCV.
Could you please let me know which version you used?
CUDA 8.0, openCV 2.4.9 & cuDNN 5.1 worked for me
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Viktor-Paul
commented on June 17, 2024
Hi,
If I want to use images with different resolution e.g. 15 cm. what should I change?
I have changed "resolution" parameter in > SelectRotatedTarget.m to 0.15.
Also in deploy.py file I have changed "resolutionIn = 0.15 and resolutionOut = [0.15]. The results are however so bad only a few cars are detected with mostly wrong rotation estimation.
I am using a 569x561px image.BTW, I am trying to install your modified caffe with CUDNN and OpenCV.
Could you please let me know which version you used?
About detecting the vehicle, is the dataset you used your own dataset?
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Related Issues (20)
- The Use of Functions SelectRotatedTarget.m HOT 4
- make error /usr/bin/ld: cannot find -l boost_thread
- Deployment problem HOT 3
- make error ---Headache problem ina long time HOT 5
- Why loss is close to 0.1, but the effect is very poor? HOT 2
- coding missing
- cannot find trainval.txt
- Not able to run deployment
- Does there any altnertive source to download the data? HOT 4
- Question on GPU build with GFORCE RTX 2080 HOT 1
- more instruction for labeling tool HOT 2
- Wrong Code
- Database Annotation
- python.h no such file HOT 1
- what‘s the impact of resolution
- librbox.so的源码
- IndexError: index 1 is out of bounds for axis 0 with size 1
- Custom datasets to train the model, but predictive deployment has no results
- The model was trained with a custom dataset and found that nothing was learned
- Can be used on X-ray images
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