| # Convert from opencv format to yolo format | |
| # H,W is the image height and width | |
| def cvFormattoYolo(corner, H, W): | |
| bbox_W = corner[3] - corner[1] | |
| bbox_H = corner[4] - corner[2] | |
| center_bbox_x = (corner[1] + corner[3]) / 2 | |
| center_bbox_y = (corner[2] + corner[4]) / 2 | |
| return corner[0], round(center_bbox_x / W, 6), | |
| round(center_bbox_y / H, 6), | |
| round(bbox_W / W, 6), |
This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
on an Ubuntu Linux system, in particular Ubuntu 20.04.
| def bb_intersection_over_union(boxA, boxB): | |
| # determine the (x, y)-coordinates of the intersection rectangle | |
| xA = max(boxA[0], boxB[0]) | |
| yA = max(boxA[1], boxB[1]) | |
| xB = min(boxA[2], boxB[2]) | |
| yB = min(boxA[3], boxB[3]) | |
| # compute the area of intersection rectangle | |
| interArea = abs(max((xB - xA, 0)) * max((yB - yA), 0)) | |
| if interArea == 0: |
| """ | |
| this code is not mine! i shamelessly copied it from http://stackoverflow.com/questions/19790188/expanding-english-language-contractions-in-python | |
| all credits go to alko and arturomp @ stack overflow. | |
| basically, it's a big find/replace. | |
| """ | |
| import re | |
| cList = { | |
| "ain't": "am not", |
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
