Soroush Hashemifar
Soroush Hashemifar
Thanks for your attention @ftyers actually I faced the problem while I was training DeepSpeech for Persian language. Reduce on Plateau may drive the model to higher points of the...
After a few investigation, I've found that the YOLO object does not predict bounding boxes properly while loading an image in a "while True" loop. In fact, in a "while...
``` import os os.environ['CUDA_VISIBLE_DEVICES'] = '' import cv2 import numpy as np import tensorflow as tf from yolov3.utils import Load_Yolo_model, image_preprocess, postprocess_boxes, nms, draw_bbox, read_class_names from yolov3.configs import * import...
Thanks for your response. I have chunked the tampered images of CASIA-v2 into train and val splits with the val ratio of 10%. Around 4000 images for training and 1000...
I also have an integrated dataset of multiple forgery datasets with more than 16000 tampered images. RR-Unet overfits on this dataset as well.
 Maybe that's the case happened for me. I have attached the curves above
Hello again. The training on the large dataset is finished and here is the result:  The dataset is a mixture of CASIA-v2, IMD2020, and CoMoFod...
I faced the same issue. Any solution?
> Please give more details of your system (OS/distro, g++ version, numpy version, etc) I'd recommend using a virtual environment for Python to install everything. You can also try with...