iix commited on
Commit
b813e94
·
1 Parent(s): ce10c4b

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +54 -0
README.md CHANGED
@@ -1,3 +1,57 @@
1
  ---
2
  license: mit
 
 
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: mit
3
+ task_categories:
4
+ - text-classification
5
+ - text-generation
6
+ language:
7
+ - en
8
+ tags:
9
+ - code
10
+ pretty_name: '*'
11
+ size_categories:
12
+ - 0.001M<n<0.0011M
13
  ---
14
+ # Modified Coco Dataset Files
15
+
16
+ # Required dependencies
17
+
18
+ ```
19
+ OpenCV (cv2):
20
+
21
+ pip install opencv-python
22
+ ```
23
+
24
+ # img_data.parquet (originally a psv)
25
+
26
+ Extract of the coco dataset containing the following labels: ```["airplane", "backpack", "cell phone", "handbag", "suitcase", "knife", "laptop", "car"]```
27
+
28
+ ```
29
+ Structured as follows:
30
+
31
+ | Field | Description |
32
+ | --------------- | --------------------------------------------------------------------------------------------------- |
33
+ | file_name | Name of image file (.png) |
34
+ | height | Image height prior to padding |
35
+ | width | Image width prior to padding |
36
+ | annotations | Array of boundary box array, label pairs. Bbox arrays are of the form [x_min, y_min, width, height] |
37
+
38
+ 1.09k rows
39
+ ```
40
+
41
+ #/data (folder)
42
+
43
+ This directory contains a selection of zero-padded COCO images that correspond to img_data.parquet.
44
+
45
+
46
+ #display_boundary.py
47
+
48
+ Mini gui for viewing images with their boundary boxes, don't need to pay attention to how it works, just run it:
49
+
50
+ ```
51
+ python display_boundary.py
52
+ ```
53
+
54
+ Input structured as follows:
55
+ ```
56
+ x.png (where x is a file name)
57
+ ```