Zeynep Gökce

Hi @duynn912 , I also need YOLOv3 with backbone ResNet50. Did you write the cfg file and handle the problem that you got ?

@duynn912 , Yeah i tried the YOLOv3 it was good, but i could not write the cfg with ResNet50 backbone. Could you share whole cfg file with me? This is...

@binhhoangtieu I also tried to predict my trained model. But when i declare model name as you said above, e.g., model_name = "./models/c3d_ucf_model-4999" , it does not work. ``` tensorflow.python.framework.errors_impl.NotFoundError:...

But model_filename is a path and it is pretrained model as following part in the python file. **model_filename = "./sports1m_finetuning_ucf101.model" if os.path.isfile(model_filename) and use_pretrained_model: saver.restore(sess, model_filename)** then i couldn't use...

Ok, thank you so much, i got this part. but now, I got different error. I couldnt solve, I just tried to train your model with 2 video and just...

Hello @cckenny and @binhhoangtieu , I get the similar error. Accuracy is always zero. I changed the batch size as you said , but it is still 0. I have...

@491506870 Hi, i just added "loss" to session simply, as following summary, acc,l = sess.run( [merged, accuracy,loss], feed_dict={images_placeholder: train_images, labels_placeholder: train_labels }) print ("accuracy: " + "{:.5f}".format(acc)) print(" Loss :...

@491506870 , Problem was related to my own Dataset Labelling. I changed my labelling like starting from 0 to 2 since i have 3 classes.

I guess, the frames correspond to frames of related segment which are extracted in fps=1.