123liluky

I tried the older code and an opencv error happend.  I can't find out what's the problem. What vesion of opencv did you use? I use opencv4.1.2

Yes, I upgraed opencv but the error happened again.

HI, I have a question. If I want to do speed test on BrnoCompSpeed dataset, must I do track_detections function in dataset_utils/test.py to get 'system_{write_name}.json'? @jinqi2376 Have you successfully visualized...

I ran test.py with online=False in test_video and using track_detections and got a system_name_of_the_system.json. Then, I tried compute_speed function in test_luvizon.py on BrnoCompSpeed dataset according to refenrences above. Speed returned...

Could you share your steps for traning the model and things we need pay attention to. I have downloaded ILSVRC2017 and I am going to train D&T model. Without RPN...

conf: batch_size: 2 bbox_class_agnostic: 1 bbox_thresh: 0.5000 bg_thresh_hi: 0.5000 bg_thresh_lo: 0 fg_fraction: -1 fg_thresh: 0.5000 image_means: [224x224x3 single] ims_per_batch: 1 max_size: 1000 rng_seed: 6 scales: 600 test_binary: 0 test_max_size: 1000...

I am doing step 1 of Setup on Ubuntu16.04. While I compile caffe-rfcn downloaded from https://github.com/feichtenhofer/caffe-rfcn, error is: ./include/caffe/parallel.hpp(99): warning: type qualifier on return type is meaningless /usr/local/include/boost/system/error_code.hpp:233:21: error: looser...

So the track_detections should be removed or commented in dataset_utils/test.py because online=True in line 401?

I have the same issue. Have you solved the problem?

referencing http://blog.csdn.net/qq_25737169/article/details/77856961. When I tried experiment 1, I revised ``` def train_20(self): print("TRAINING ROLO...") log_file = open("output/trainging-20-log.txt", "a") #open in append mode with tf.variable_scope('for_reuse_scope'): self.build_networks() ''' TUNE THIS''' num_videos =...