leemengxing

BSN and BMN deal THUMOS'14 feature by slide windows, not rescaled. i also interested in THUMOS'14 piplined.

vggish strictly extracts features every 0.96 seconds, but my image features extract features every 1s. Do you have a good way to align features and look forward to your suggestions?

I'm sorry. I may have described the problem. For example, my video is half an hour. I select one frame of image every second to extract the image features after...

I found that 4 seconds video does not have this problem. because [4,512] == [4/0.96,128].Any suggestion is welcome,thx very much.

你好，我也求个链接？[email protected]

There is a statistical ratio in the loss function. It may happen that the number of iou> 0.7 or iou> 0.9 is 0 for small batch sizes, such as 1,...

Have you tried changing the two classifications to multiple classifications for detection tasks instead of proposal tasks? @vhvkhoa

{ "defaults": { "ops": { "is_output_quantized": "True" }, "params": { "is_quantized": "True", "is_symmetric": "True" }, "strict_symmetric": "False", "unsigned_symmetric": "True", "per_channel_quantization": "True" }, "params": { "bias": { "is_quantized": "False" } },...

this function n=np.random.randint(-(y1-10),al_tmp.shape[1]-y2-10), sometimes will happen ValueError: low >= high. why? @senguptaumd

If people account for a large proportion of the image, it is easy to approach the boundary. that mean -(y1-10)>0,and al_tmp.shape[1]-y2-10