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1028208 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | import os
import cv2
import random
import numpy as np
from tqdm import tqdm
DATASET_DIR = r"C:\Users\charu\Desktop\all new\40000\goyam_v2_dataset"
IMG_DIR = os.path.join(DATASET_DIR, "images", "train")
LBL_DIR = os.path.join(DATASET_DIR, "labels", "train")
OUTPUT_DIR = os.path.join(DATASET_DIR, "visual_check")
NUM_SAMPLES = 100
COLORS = {
0: (0, 0, 255),
1: (255, 0, 0),
2: (0, 255, 0)
}
def verify_labels():
os.makedirs(OUTPUT_DIR, exist_ok=True)
valid_exts = ('.jpg', '.jpeg', '.png')
all_images = [f for f in os.listdir(IMG_DIR) if f.lower().endswith(valid_exts)]
if not all_images:
print(f"No images found in {IMG_DIR}")
return
if NUM_SAMPLES > 0 and len(all_images) > NUM_SAMPLES:
print(f"Randomly selecting {NUM_SAMPLES} images for spot-checking...")
images_to_check = random.sample(all_images, NUM_SAMPLES)
else:
print(f"🔍 Checking ALL {len(all_images)} images...")
images_to_check = all_images
for filename in tqdm(images_to_check, desc="Drawing Polygons"):
img_path = os.path.join(IMG_DIR, filename)
lbl_path = os.path.join(LBL_DIR, os.path.splitext(filename)[0] + ".txt")
img = cv2.imread(img_path)
if img is None:
continue
h, w = img.shape[:2]
overlay = img.copy()
if os.path.exists(lbl_path):
with open(lbl_path, "r") as file:
lines = file.readlines()
for line in lines:
parts = line.strip().split()
if len(parts) < 5:
continue
class_id = int(parts[0])
color = COLORS.get(class_id, (0, 255, 255))
coords = [float(x) for x in parts[1:]]
points = np.array(coords).reshape(-1, 2)
points[:, 0] = points[:, 0] * w
points[:, 1] = points[:, 1] * h
points = np.int32(points)
cv2.fillPoly(overlay, [points], color)
cv2.polylines(img, [points], isClosed=True, color=color, thickness=2)
cv2.putText(img, f"Class {class_id}", (points[0][0], points[0][1] - 5),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, color, 2)
cv2.addWeighted(overlay, 0.4, img, 0.6, 0, img)
save_path = os.path.join(OUTPUT_DIR, filename)
cv2.imwrite(save_path, img)
print(f"\n Done! ")
if __name__ == "__main__":
verify_labels() |