Update mini_car_bikes_detection.py
Browse files
mini_car_bikes_detection.py
CHANGED
@@ -1,6 +1,4 @@
|
|
1 |
-
|
2 |
-
import numpy as np
|
3 |
-
|
4 |
import json
|
5 |
import os
|
6 |
|
@@ -42,6 +40,7 @@ class MiniCarBikesDetection(datasets.GeneratorBasedBuilder):
|
|
42 |
"height": datasets.Value("int32"),
|
43 |
"objects": datasets.Sequence(
|
44 |
{
|
|
|
45 |
"bbox": datasets.Sequence(datasets.Value("float32"), length=4),
|
46 |
"category": datasets.ClassLabel(names=_CATEGORIES),
|
47 |
}
|
@@ -85,7 +84,8 @@ class MiniCarBikesDetection(datasets.GeneratorBasedBuilder):
|
|
85 |
}
|
86 |
with open(annotations_file) as jf:
|
87 |
annotations = json.load(jf)
|
88 |
-
|
|
|
89 |
image_id_to_annotations = collections.defaultdict(list)
|
90 |
for image_file in image_files:
|
91 |
image_name = image_file[0].split("/")[1]
|
|
|
1 |
+
import collections
|
|
|
|
|
2 |
import json
|
3 |
import os
|
4 |
|
|
|
40 |
"height": datasets.Value("int32"),
|
41 |
"objects": datasets.Sequence(
|
42 |
{
|
43 |
+
"id": datasets.Value("int32"),
|
44 |
"bbox": datasets.Sequence(datasets.Value("float32"), length=4),
|
45 |
"category": datasets.ClassLabel(names=_CATEGORIES),
|
46 |
}
|
|
|
84 |
}
|
85 |
with open(annotations_file) as jf:
|
86 |
annotations = json.load(jf)
|
87 |
+
labels = {"id":1, "name":'Car'}, {"id":2, "name":'bike'}
|
88 |
+
category_id_to_category = {category["id"]: category["name"] for category in annotations["name"]}
|
89 |
image_id_to_annotations = collections.defaultdict(list)
|
90 |
for image_file in image_files:
|
91 |
image_name = image_file[0].split("/")[1]
|