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Hi,
I am not getting the final result so I am entering the text into excel(WHY!!). However, my results looks very good, I am getting around 90%.
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My structure of data directories is the following:
/data
…………/UCF_jpg
……………………/(directories of class names)
………………………………/(directories of video names)
…………………………………………/(jpg files)
…………/result
…
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Thanks for your great work!
It is worth affirming that your work has great research value. However, when I loaded the fine-tuned checkpoint in the MOSI project (with R (2+1) D-10 as the backbone), I …
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@rocksyne Thanks for your link and materials, after using the sports1m_finetuning_ucf101.model into the folder, when l train the network, I got the error as following:
InvalidArgumentError (see above…
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In UCF101_ResNetCRNN.py:
begin_frame, end_frame, skip_frame = 1, 29, 1
selected_frames = np.arange(begin_frame, end_frame, skip_frame).tolist()
train_set, valid_set = Dataset_CRNN(data_path, train_…
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Hi，I used your code to train the P3D199 on UCF101，with the pretrained weight you supported. My experiment top-1 result is 81%, which is far from the paper 93%, could you support the details about your…
bbp94 updated
5 years ago
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from your paper, you get top-1 accuracy 60.1% on resnet-34, but i get 57.9%.
i use your pre-train model.
the result is video accuracy.
what's the problem?
i can't download some of kinetics datas…
lee2h updated
5 years ago
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Hello
Thanks for releasing your work. Big help for someone prefer pytorch like me.
When I check the **test_model.py** code, one thing confused me. I found out that the BNInception has total 485…
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This is my opts
def parse_opts():
parser = argparse.ArgumentParser()
parser.add_argument('--input', default='input', type=str, help='Input file path')
parser.add_argument('--video_root…