mergify[bot] on master
chore: update to oatpp 1.3 (compare)
refinedet_512and download https://www.deepdetect.com/models/pretrained/refinedet_512/VOC0712_refinedet_vgg16_512x512_iter_120000.caffemodel to use them as
iter_sizedepending on your GPU. You can set
iter_sizeto 4 to compensate. You'll need many more than 1000 iterations also, not sure what your data are, but 25000 is reasonable for a first run/try.
My image_32.txt files are build like:
<label> <xmin> <ymin> <xmax> <ymax>
601 22 32 673 756
601 because detection 600 had 600 classes in it and i wanted a new class
train.txt lines are :
[docker volume folder]/train/image_3.jpg- [docker volume folder]/train/image_3.txt
What do you mean wrong format?
hey @beniz - happy new year! long time since I've been looking through this stuff - tons of updates!! was just wondering if you're still building docker images with TF included. I'm trying to update our build process and I'm running into quite a number of issues with changes in DD affecting the build as well as changes in floopz/tensorflow_cc (and tensorflow itself).
Anyways, was just wondering if a (even CPU-only, for now) automated build is still happening with tensorflow that I can compare my build process too. Thanks in advance!
@beniz hey, happy new year 😊 simsearch question, I have the object detector working nice for the tshirt artwork, and you said that training the ResNet classifier model with more categories (say 200 or so different bands tshirt artwork) can improve the search results, however I've found that training the classifier on only 10 or so band names seems to give the simsearch better results.. whats your thoughts? note - a single band might have many different designs, so maybe this is the problem..
so trained on 10 categories, the resnet simsearch model is kinda OK, but not brilliant
on 200 categories, its sometimes workable but not great
Do you have any other tips for tuning simsearch? fortunately the 'domain' is all kinda similar, printed artwork on cloth.. maybe some image filter or tuning option?