CherishineNi
CherishineNi
when testing how to visualize the detection results?
请问如何用自己训练好的模型进行可视化检测?
 After I run ./experiments/scripts/train_faster_rcnn.sh 0 pascal_voc vgg16 . How to solve it?
python main.py --path_opt cfgs/normal_coco_res101.yml --batch_size 20 --cuda True --num_workers 20 --max_epoch 30 but failed , file is not a zip file how to solve?
多个目标检测,xml文件是用labelimg标注,运行voc_annotation.py将xml文件转换成yolo的txt,生成的txt 里面有些只有图片路径,没有对应的坐标信息?如何解决?
how to create a file like dataset_coco.json for my own dataset? 能否提供下生成的脚本.py 文件呢?
请问如何实现visual_concept,生成图像字幕呢?
 训练结束,但是models文件夹下面为空,训练好的模型没有保存。请问要如何解决?
import argparse from PIL import Image import torch import matplotlib.pyplot as plt import numpy as np import cv2 import pickle from utils import CocoEvalLoader, to_var, show_images from adaptive import Encoder2Decoder...
could you tell me how to test ?