cguentherTUChemnitz

> I found that there is no 'Attempting to use uninitialized' error if I call the following function first: > sess.run(tf.global_variables_initializer()) @marco8chong So you were able to get rid of...

I added in train.py a model.save(log_dir + 'trained_model_final.h5') next to the model.save_weights statement. I moved this result to model_data/tf.h5 I try to load the dataset to be able to convert...

@marco8chong Thanks a lot for the code snipped. That helped me to see how i load the trained keras weights as a model. I was able to run your script....

Here you get the script snipped i used for conversion. This must be placed as an python file directly in the root directory of the keras-yolo3 project: ``` # https://github.com/qqwweee/keras-yolo3/issues/344...

> Now my problem is the missing Yolo Head This might help you: https://github.com/qqwweee/keras-yolo3/issues/349#issuecomment-486345613 Nevertheless, the script i posted did not need any further import, when placed as a sibling...

Oh this approach seems pretty nice. I would like to see this to be merged.

Oh very interesting. When is use `IS_BEHIND_PROXY=true` than the service crashes and i get: ``` Parse error: syntax error, unexpected 'URL' (T_STRING) in /www/ssp/conf/config.inc.local.php on line 211 ``` It seems...

You are faster with fixing, than my gathering my logs and updating my comment^^ So those two problems remains: > I need a possibility to modify this from the outer...

Thank you for your great support.

Is there any insight to this topic in the meantime?