tmp for response

[fychao]

In inRange function prepare.py Line: 91, it compares timestamps from each image file, located in ./cctv_imgs/$CCTV_CODE, and converted speed timestamp, which is provided from extracted xml.gz file in ./cctv_imgs/speed/. If difference between image and speed timestamps is within range 0-60, this function will return an tuple (point, tm) and back to Line: 136.

So if your server time is not synchronized with an up-to-date ntpdate server, time convert function will not be accurate and cause mis-match condition, so Line: 139 would have no image/speed-pairs to do.

[fychao]

command lines

   76  w3m "https://drive.google.com/uc?export=download&confirm=NSrC&id=1c7woFGnUlsdYvAyZ6SLR0rNyqEt4y18q"
   77  ls
   78  tar jxvf cctv_imgs.tbz
   79  ls
   80  ./prepare.py -t

output

(test) fychao@ubuntu:~/functionality-scenario-test-A-2018$ ./prepare.py -t
Using TensorFlow backend.
INFO:root:Preparing data for vdid: nfbVD-N1-N-89.990-M-LOOP
INFO:root:Scanning image files in directory: ./cctv_imgs/nfbCCTV-N1-N-90.01-M
INFO:root:Found image files: 53369
Loading Speed: 100%|############################| 10/10 [00:13<00:00,  1.35s/it]
Find Images: 100%|#####################| 53369/53369 [00:01<00:00, 47829.19it/s]
Mapping Speed: 100%|#################| 53369/53369 [00:00<00:00, 2019795.09it/s]
Make DataFrame: 100%|##########################| 10/10 [00:00<00:00, 985.90it/s]
Image Count in DataFrame
count       4
unique      4
top       152
freq        1
Name: image_count, dtype: int64
Mapping X&y: 100%|################################| 4/4 [00:01<00:00,  2.19it/s]
INFO:root:       --== dimensions ==--
X dim:(12, 30, 120, 176, 1), Y dim:(12,)
Speed(y) distributions:
 90.0     9
100.0    3
dtype: int64
Saving Sample: 100%|###########################| 12/12 [00:00<00:00, 229.75it/s]

file system layout

(bench_int_serv) root@ca67b9fa31c4:~/github/functionality-scenario-test-A-2018# ls -al
total 3725120
drwxrwxr-x 5 root root       4096 Mar 15 16:19 .
drwxrwxr-x 3 root root       4096 Mar 15 09:37 ..
drwxrwxr-x 8 root root       4096 Mar 15 09:37 .git
-rw-rw-r-- 1 root root      35147 Mar 15 09:37 LICENSE
-rw-rw-r-- 1 root root      16006 Mar 15 09:37 README.md
drwxrwxr-x 4 root root       4096 Mar  9 07:30 cctv_imgs
-rw-rw-r-- 1 root root 3814213631 Mar 15 09:38 cctv_imgs.tbz
-rw-rw-r-- 1 root root     184826 Mar 15 09:37 cctvid-vd-dest-cctv_url.csv
drwxrwxr-x 3 root root       4096 Mar 15 16:18 datasets
-rwxrwxr-x 1 root root       9402 Mar 15 09:37 feed.py
-rwxrwxr-x 1 root root      10217 Mar 15 09:37 prepare.py
-rw-rw-r-- 1 root root       1154 Mar 15 09:37 requirements.txt
-rwxrwxr-x 1 root root      11078 Mar 15 09:37 train.py
(bench_int_serv) root@ca67b9fa31c4:~/github/functionality-scenario-test-A-2018# tree -d
.
|-- cctv_imgs
|   |-- nfbCCTV-N1-N-90.01-M
|   `-- speed
`-- datasets
    `-- nfbCCTV-N1-N-90.01-M

5 directories