-
Hi, how do I train this model on a custom dataset ? I wish to fine tune the pre-trained weights.
One more thing, I do not have the age of the people in the dataset, only the gender. So how do I leave…
-
Hi, I created training data from the UTKFace dataset (Aligned&Cropped Faces), and then ran train.py on it, once with data augmentation, and once without. Both times the training finished successfully …
-
Hi, Thank you very much for sharing this code. I have a simple question. I am training VGG16 for age estimation by using pre-trained model (imagenet). I would be so thankful if you could please kindly…
-
Need tuning of algorithms and better algorithms needed to impore accuracy.
-
Although the results are not extremely different, the results of the ATT function implemented in the Zelig package are not reproducible with the Zelig setx and sim functions. The example provided uses…
-
A work-in-progress list, by @suchow and @vlall:
## Cognitive psychology & vision tasks
- [x] numerosity (`compare_numerosity`)
- [ ] remember a string of numbers for a few seconds
- [ ] dual n-b…
-
i get this error:
zlib.error: Error -3 while decompressing data: invalid code lengths set
when trying to create training data from IMDB-WIKI Dataset.
-
it is not possible to download the files on the site
https://pan.baidu.com
the site does not accept registration from other countries. It is not possible to receive the SMS code in international…
-
Hi,
I've been doing some simple analysis over both pre-trained models, validating using appa-real dataset.
Here's what I'm doing:
For each cropped and rotated image i.e. (_face.jpg) prefix:
- …
idanh updated
5 years ago
-
Hi,
You write that VGGFace could have better results, but I get validation MAE of ~11.5 using it.
Using the VGG16 pretrained on ImageNet, I get the similar results.
Could it be that no other m…