Comments (8)
You could find how to download the weight files in this link.
from transferable-interactiveness-network.
In folder Weights does not exist res50_faster_rcnn
what do I do?
from transferable-interactiveness-network.
You need to download the following three files and put them in the folder Weights/res50_faster_rcnn:
res50_faster_rcnn_iter_1190000.ckpt.meta
res50_faster_rcnn_iter_1190000.ckpt.index
res50_faster_rcnn_iter_1190000.ckpt.data-00000-of-00001
These are the resnet50's pre-training models
from transferable-interactiveness-network.
Hello
thanks for your answer
when I run test phase "python tools/Test_TIN_HICO.py --num_iteration 1700000 --model TIN_HICO"
give this error :ValueError: The passed save_path is not a valid checkpoint: F:\Transferable-Interactiveness-Network-master\Transferable-Interactiveness-Network-master/Weights/TIN_HICO/HOI_iter_17.ckpt
In the folder Weights/TIN_HICO is the following files:
res50_faster_rcnn_iter_1190000.ckpt.meta
res50_faster_rcnn_iter_1190000.ckpt.index
res50_faster_rcnn_iter_1190000.ckpt.data-00000-of-00001
from transferable-interactiveness-network.
There should be two folders under your Weights folder, TIN_VCOCO_default for the trained model and res50_faster_rcnn for the resnet model
from transferable-interactiveness-network.
I want to run this program on HICO_DET dataset only and don't download VCOCO dataset.
The training phase run without any error . but in testing phase the program search about" HOI_iter_17.ckpt " and it isn't in my folders.
what is HOI_iter_17.ckpt and where is?
In training phase create a folder with TIN_HICO_test folder in Weights folder which have following files:
HOI_iter_10.ckpt.meta
HOI_iter_10.ckpt.index
HOI_iter_10.ckpt.data-00000-of-00001
checkpoint
from transferable-interactiveness-network.
The checkpoint name 'HOI_iter_17.ckpt' you mentioned is probably a mistake of 'HOI_iter_1700000.ckpt'. You could download the weight file by running
python script/Download_data.py 1f_w7HQxTfXGxOPrkriu7jTyCTC-KPEH3 Weights/TIN_HICO.zip
. The downloaded weights will be saved in ./Weights/TIN_HICO/
.
Or if you are training your own model, notice the checkpoint is saved every 100000 iterations (HOI_iter_10.ckpt is saved for sanity check). You could choose which checkpoint to test by changing the num_iteration
flag.
from transferable-interactiveness-network.
Solved
from transferable-interactiveness-network.
Related Issues (20)
- about test the model,mAP value is too low HOT 1
- The eigenvector shape problem of early fusion and late fusion
- The shape of pool5_O in early and late fusion HOT 1
- self.spatial = tf.placeholder(tf.float32, shape=[None, 64, 64, 3], name = 'sp') HOT 9
- What is the reason for using negative examples? HOT 4
- problem in installing HOT 4
- Questions about the ablation studies HOT 2
- About self.HO_weight HOT 1
- V-COCO training results is bad HOT 2
- The empty detections
- the pre-trained weight
- augment and pos_augment? HOT 1
- the code for ten part boxes HOT 1
- What is the approximate speed of video real-time motion detection?
- where to find or download the file res50_faster_rcnn HOT 2
- Bad evaluation results HOT 1
- How to use code to infer in my own data set? My own data set is not labeled, just want to see the actual application effect of HOI algorithm HOT 1
- Question about final HOI classification scores HOT 4
- Issue Downloading Pretrained Weight Files HOT 3
- raceback (most recent call last): │ File "tools/Vcoco_lis_nis.py", line 304, in <module> │ generate_result = generate_pkl(mode, test_D, test_result, prior_mask, Action_dic_inv, (6, 6, 7, 0), args.prior_flag) │ File "tools/Vcoco_lis_nis.py", line 145, in generate_pkl │ score_binary_d = np.array(dic_d['binary_score']) │KeyError: 'binary_score'
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