File size: 1,718 Bytes
b27cd24 | 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 | import os
import csv
import numpy as np
# -------- INPUT --------
IMAGE_LIST_TXT = "olivia_luna_image_paths.txt"
BBOX_DIR = "/scratch/ds5725/linefinder/LineFinder/bbox_orient"
OUTPUT_CSV = "OL_number_of_people.csv"
def read_image_list(txt_path):
with open(txt_path, "r") as f:
return [line.strip() for line in f if line.strip()]
def main():
image_paths = read_image_list(IMAGE_LIST_TXT)
print(f"Loaded {len(image_paths)} images from txt")
rows = []
for img_path in image_paths:
image_id = os.path.splitext(os.path.basename(img_path))[0]
bbox_path = os.path.join(BBOX_DIR, f"{image_id}_bboxes.npy")
if not os.path.isfile(bbox_path):
rows.append({
"image_id": image_id,
"image_path": img_path,
"estimated_number_of_persons": "",
"status": "missing_bbox"
})
continue
try:
bboxes = np.load(bbox_path)
num_persons = int(bboxes.shape[0])
status = "ok"
except Exception as e:
num_persons = ""
status = f"fail:{e}"
rows.append({
"image_id": image_id,
"image_path": img_path,
"estimated_number_of_persons": num_persons,
"status": status
})
# Write CSV
cols = ["image_id", "image_path", "estimated_number_of_persons", "status"]
with open(OUTPUT_CSV, "w", newline="", encoding="utf-8") as f:
writer = csv.DictWriter(f, fieldnames=cols)
writer.writeheader()
for r in rows:
writer.writerow(r)
print(f"\nSaved results to {OUTPUT_CSV}")
if __name__ == "__main__":
main() |