Open davidbernat opened 5 years ago
You can use a yolo tensorflow version code to train. Using the python to read the data.
Do you have a preferred version (repository) with your blessing? I worried about bugs or code drift as you updated the original version.
On Mon, Nov 12, 2018 at 2:29 AM cnn notifications@github.com wrote:
You can use a yolo tensorflow version code to train. Using the python to read the data.
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Did you solve the problem?
No, I punted. Did you?
On Fri, Mar 29, 2019 at 9:44 PM kaancolak notifications@github.com wrote:
Did you solve the problem?
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Hi, did you solve the problem with RGB and NIR images? I also have these type of images. I am trying to feed properly the network, but I am really not sure how. Even I change channels > 3, it is not working.
I would have to restart the project. It would be straightforward. What is your purpose of building out this technology?
I am doing school project for trees reconigition. First, I trained it for RGB. Then I trained it only for NIR. Now, I want to do combination of these two images and prove that combination of both is better.
@petulka8s Let's talk about it. I sent you a message. Find my email on my profile and ask me your questions there.
I have N channel GeoTiffs where N > 3.
I can edit the Yolo cfg file to set channels=N.
However, I do not see the correct way to edit python/darknet.py or use the load_image() function to read this data in. My aim is to solve this without editing the C++.
AFAIK, jpg, png, and the other data formats do not handle N > 3 (not counting alpha).
Please advise. Thank you!