Comments (3)
Hi, which dataset did you train on? For example, If you train a late-fusion iCAN on V-COCO, and you want to use the weight obtained at 300000 iterations, you can
python tools/Test_ResNet_VCOCO.py --model iCAN_ResNet50_VCOCO --num_iteration 300000
Also, you can refer to the testing section for more information.
Let me know if this helps.
from ican.
Thank you for your reply, how can I use the obtained weights after training? How to run the model on a custom image rather than the test images?
I 've already run the training script and it work good.
I hope I can find comments that explain the purpose of each class and function on it.
In addition to, I need to know what do you mean by the files
Trainval_GT
Trainval_N
or what are there content?
from ican.
To test on your own images, you can refer to this section.
Trainval_GT is the official training data of V-COCO and HICO-DET. I change the format that iCAN recognized.
Trainval_N is the negative training data (the non-interaction). I create this data myself to further improve the performance.
from ican.
Related Issues (20)
- about training loss
- about the negative samples? HOT 1
- visualizing the attention maps HOT 2
- No prior_mask.pkl file and no detection on Djokovic image HOT 3
- Why is fc7_SH and fc7_SO sent into the classifier
- How to generate my "Trainval_GT_VCOCO.pkl"and "Trainval_Neg_VCOCO.pkl"
- About the batchsize and epoch?
- Testing without train using pretrained weights HOT 2
- The single category score in the output value is greater than 1 HOT 1
- python3 with tensorflow1.13 HOT 1
- How to train on my own image dataset? HOT 2
- Visualize the attention map using heatmap HOT 2
- Annotations for objects and verbs HOT 4
- Prior_mask.pkl and action_index.json missing HOT 2
- the reason for considering negative samples
- Performing Demo on Video Directly HOT 1
- Questions about test output for HICO
- How is the trainval_GT and trainval_Neg files prepared HOT 2
- About the pretrained model res50_faster_rcnn_iter_1190000.ckpt.meta
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from ican.