Documentation bug: model weights in object detection documentation do not exist
dgtlmoon opened this issue · comments
https://www.deepdetect.com/platform/docs/object-detection/
dd@a0a6e47be381:/opt/deepdetect/build/main$ ls -al /opt/platform/models/pretrained
ls: cannot access '/opt/platform/models/pretrained': No such file or directory
In the latest GPU docker image, I have only
dd@a0a6e47be381:/opt/deepdetect/build/main$ find /opt|grep caffemodel
/opt/models/resnet_50/ResNet-50-model.caffemodel
/opt/models/ggnet/bvlc_googlenet.caffemodel
https://www.deepdetect.com/platform/docs/object-detection/
dd@d8bfd627e7fd:/opt/deepdetect/build/main$ find /opt|grep caffemod
/opt/models/resnet_50/ResNet-50-model.caffemodel
/opt/models/ggnet/bvlc_googlenet.caffemodel
I checked the docker images for cpu platform docker, gpu and cpu and not in those either
Hi, yes it's a known issue on some installs. The tarball is available from https://www.deepdetect.com/downloads/platform/pretrained_latest.tar.gz
Got another one, the template+size headers on the table are the wrong way around..
Could be nice to add the following comments (as an example)
template - used in the "mllib":{ "template": field, this is required, if we were not finetuning (finetuning not set or is false) then we can just use this template to train new weights on, otherwise you need to provide the template and the current pretrained weights, which should be for the same model.
@alx easy solution would be, under the table of models, just include a link "Download the pretrained weights file for the model here https://www.deepdetect.com/downloads/platform/pretrained/"
Hi @dgtlmoon
Thanks again for your feedbacks, I've updated the documentation page using them: https://www.deepdetect.com/platform/docs/object-detection/
I'm not sure where to insert your comment about the template parameter, you provide a curl parameter while this page is showing an example of a jupyter notebook snippet.
Documentation has been updated and published, feel free to re-open this issue to append new comments about this section.
We're planning to move the documentation on github, you should soon be able to make PR on it.
Have a nice day,
Alex