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Generate yaml including class id and name #70

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Generate yaml including class id and name #70

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darouwan Mar 26, 2024
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Auto-format by https://ultralytics.com/actions
UltralyticsAssistant Mar 26, 2024
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Merge branch 'master' into dev
darouwan Mar 26, 2024
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24 changes: 22 additions & 2 deletions general_json2yolo.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,8 @@
import contextlib
import json
import shutil

import yaml
import cv2
import pandas as pd
from PIL import Image
Expand Down Expand Up @@ -258,13 +260,18 @@ def convert_coco_json(json_dir="../coco/annotations/", use_segments=False, cls91
save_dir = make_dirs() # output directory
coco80 = coco91_to_coco80_class()

categories_dict = {}

# Import json
for json_file in sorted(Path(json_dir).resolve().glob("*.json")):
fn = Path(save_dir) / "labels" / json_file.stem.replace("instances_", "") # folder name
for json_file in sorted(Path(json_dir).resolve().glob("*coco*.json")):
fn = Path(save_dir) / "labels" / json_file.stem.replace("instances_", "").replace("_coco", "") # folder name
fn.mkdir()
with open(json_file) as f:
data = json.load(f)

# Create categories_dict
categories_dict = {item["id"] - 1: item["name"] for item in data["categories"]}

# Create image dict
images = {"%g" % x["id"]: x for x in data["images"]}
# Create image-annotations dict
Expand Down Expand Up @@ -312,6 +319,19 @@ def convert_coco_json(json_dir="../coco/annotations/", use_segments=False, cls91
line = (*(segments[i] if use_segments else bboxes[i]),) # cls, box or segments
file.write(("%g " * len(line)).rstrip() % line + "\n")

yaml_dict = {
"names": {k: v for k, v in categories_dict.items()},
# "path": "yolo_datasets",
"train": "images/train",
"val": "images/val",
}

with open((Path(save_dir) / json_file.stem).with_suffix(".yaml"), "w") as f:
yaml.dump(yaml_dict, f)
shutil.copy(
(Path(save_dir) / json_file.stem).with_suffix(".yaml"), (Path(save_dir) / "classes").with_suffix(".yaml")
)


def min_index(arr1, arr2):
"""
Expand Down