print()
##################
# 画像を選択
index = 4
image_path = os.path.join(image_dir, image_files[index])
img = cv2.imread(image_path)
gt = annotation[index]
answer = ans[index]
# 予測
confidence_threshold =
window_size =
stride =
out = ssd.predict_sw(image_path, window_size, stride)
out = [pred for pred in out if pred["score"]>=confidence_threshold]
out = sorted(out, key=lambda x:x["score"], reverse=True)
# 評価
pred =
evaluation =
print('f1score:', evaluation)
#表示
plot_bbox(img, gt, out)
print()
##################
#AveragePrecision
