How to get map when I train with voc2007

[Glutton-zh]

i train on voc2007 and when i test it

$ python3 test.py CenterNet-52 --testiter 225000 --split testing
cfg_file: config/CenterNet-52.json
loading all datasets...
split: testdev
loading from cache file: cache/coco_testdev2017.pkl
loading annotations into memory...
Done (t=0.08s)
creating index...
index created!
system config...
{'batch_size': 2,
'cache_dir': 'cache',
'chunk_sizes': [2],
'config_dir': 'config',
'data_dir': './data',
'data_rng': <mtrand.RandomState object at 0x7fe66ca1a8b8>,
'dataset': 'MSCOCO',
'decay_rate': 10,
'display': 5,
'learning_rate': 0.00025,
'max_iter': 225000,
'nnet_rng': <mtrand.RandomState object at 0x7fe66ca1a900>,
'opt_algo': 'adam',
'prefetch_size': 6,
'pretrain': None,
'result_dir': 'results',
'sampling_function': 'kp_detection',
'snapshot': 5000,
'snapshot_name': 'CenterNet-52',
'stepsize': 150000,
'test_split': 'testdev',
'train_split': 'trainval',
'val_iter': 500,
'val_split': 'minival',
'weight_decay': False,
'weight_decay_rate': 1e-05,
'weight_decay_type': 'l2'}
db config...
{'ae_threshold': 0.5,
'border': 128,
'categories': 20,
'data_aug': True,
'gaussian_bump': True,
'gaussian_iou': 0.7,
'gaussian_radius': -1,
'input_size': [511, 511],
'kp_categories': 1,
'lighting': True,
'max_per_image': 100,
'merge_bbox': False,
'nms_algorithm': 'exp_soft_nms',
'nms_kernel': 3,
'nms_threshold': 0.5,
'output_sizes': [[128, 128]],
'rand_color': True,
'rand_crop': True,
'rand_pushes': False,
'rand_samples': False,
'rand_scale_max': 1.4,
'rand_scale_min': 0.6,
'rand_scale_step': 0.1,
'rand_scales': array([0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3]),
'special_crop': False,
'test_scales': [1],
'top_k': 70,
'weight_exp': 8}
loading parameters at iteration: 225000
building neural network...
module_file: models.CenterNet-52
total parameters: 104797892
loading parameters...
loading model from cache/nnet/CenterNet-52/CenterNet-52_225000.pkl
locating kps: 0%| | 0/4952 [00:00<?, ?it/s]/home/zhanghan/anaconda3/envs/CornerNet_Lite/lib/python3.7/site-packages/torch/nn/modules/upsampling.py:129: UserWarning: nn.Upsample is deprecated. Use nn.functional.interpolate instead.
warnings.warn("nn.{} is deprecated. Use nn.functional.interpolate instead.".format(self.name))
locating kps: 100%|█████████████████████████| 4952/4952 [13:40<00:00, 6.04it/s]

that's all. i just get a result.json in my /test
where is the function to calculate the map that i can get my Map

[adrian-wl]

I met the same puzzle