Closed bbartling closed 1 year ago
Please use our latest develop branch and refer quick start guide. https://github.com/openvinotoolkit/training_extensions/blob/develop/QUICK_START_GUIDE.md
Thank you for the response....am very new to openVINO so any beginner level language/tips greatly appreciated.
On the dev branch quick start link that you provided me I have the detection
virtual env up and successful up to the find ote
step where I run:
ote find --root $TASK_ALGO_DIR
But just return empty brackets []
is because I don't have any of the pretrained open model zoo models downloaded?
Can I still re-tune an existing pretrained model in the open_model_zoo library, these steps with the people detection 2020
.
I have a data set prepared on my machine of a directory of jpeg images of people which I am hoping to try out.
Also curious on the ote train
do I need to come up with my own label_schema.json
if I am using my own dataset or is that something already built into the people detection 2020
even if I use my own dataset?
Regarding the image annotation statement that I asked above (the label_schema.json
) I used this tool called labelImg which generates an XML file for each image.
Looks like this:
Just curious if this is something I can use to retrain an existing pretrained open_model_zoo model but could use some help getting started.
Im getting further help here:
Hi,
I got some tips from the Intel community message board:
In step noted above, am I supposed to clone a particular branch? If I clone per the directions in the README:
I think it just gives me the develop branch on my Ubuntu 20.04 machine, this is what I am on:
On step 5 further down....on the
develop
branch I cannot complete this step:pip3 install -e ote/
The develop branch I have a
ote_cli
directory andote_sdk
directory....will one of these work? If did apip install -e
on both.Also notice the develop branch doesn't have a models directory...thanks for any tips getting me going