无法测试，TypeError: __init__() missing 1 required positional argument: 'hps_channel'

[Yuhyeong]

由于本人远程实验室的机器，且没有root权限，所以无法使用您准备脚本配置环境，故均按照你的脚本改了改，现在在最后测试的时候出现这样的问题

python test.py multi_pose_wodet --exp_id coco512 --dataset coco_hp_wodet --resume --not_reg_offset --not_reg_hp_offset --K 20 --not_hm_hp --arch dla_34 --input_res 512 --keep_res
Keep resolution testing.
training chunk_sizes: [32]
The output will be saved to /home/renyouheng/AI_Code/AdaptivePose/src/lib/../../exp/multi_pose_wodet/coco512
heads {'hm': 1, 'hps': 34}
Namespace(K=20, aggr_weight=0.0, agnostic_ex=False, arch='dla_34', aug_ddd=0.5, aug_rot=0, batch_size=32, cat_spec_wh=False, center_thresh=0.1, chunk_sizes=[32], data_dir='/home/renyouheng/AI_Code/AdaptivePose/src/lib/../../data', dataset='coco_hp_wodet', debug=0, debug_dir='/home/renyouheng/AI_Code/AdaptivePose/src/lib/../../exp/multi_pose_wodet/coco512/debug', debugger_theme='white', demo='/home/users/yabo.xiao/CNet_v2/img', dense_hp=False, dense_wh=False, dep_weight=1, dim_weight=1, down_ratio=4, eval_oracle_dep=False, eval_oracle_hm=False, eval_oracle_hmhp=False, eval_oracle_hp_offset=False, eval_oracle_kps=False, eval_oracle_offset=False, eval_oracle_wh=False, exp_dir='/home/renyouheng/AI_Code/AdaptivePose/src/lib/../../exp/multi_pose_wodet', exp_id='coco512', fix_res=False, flip=0.5, flip_idx=[[1, 2], [3, 4], [5, 6], [7, 8], [9, 10], [11, 12], [13, 14], [15, 16]], flip_test=False, giou=False, giou_weight=1.0, gpus=[0], gpus_str='0', head_conv=256, heads={'hm': 1, 'hps': 34}, hide_data_time=False, hm_hp=False, hm_hp_weight=1, hm_weight=1, hp_weight=1, input_h=512, input_res=512, input_w=512, keep_res=True, kitti_split='3dop', load_model='/home/renyouheng/AI_Code/AdaptivePose/src/lib/../../exp/multi_pose_wodet/coco512/model_last.pth', lr=0.000125, lr_step=[90, 120], master_batch_size=32, mean=array([[[0.40789655, 0.44719303, 0.47026116]]], dtype=float32), metric='loss', mse_loss=False, nms=False, no_color_aug=False, norm_wh=False, not_cuda_benchmark=False, not_hm_hp=True, not_prefetch_test=False, not_rand_crop=False, not_reg_bbox=False, not_reg_hp_offset=True, not_reg_offset=True, num_classes=1, num_epochs=140, num_iters=-1, num_stacks=1, num_workers=4, off_weight=1, output_h=128, output_path='/opt/tiger/adaptivepose', output_res=128, output_w=128, pad=31, peak_thresh=0.2, print_iter=0, rect_mask=False, reg_bbox=True, reg_hp_offset=False, reg_loss='l1', reg_offset=False, resume=True, root_dir='/home/renyouheng/AI_Code/AdaptivePose/src/lib/../..', rot_weight=1, rotate=0, save_all=False, save_dir='/home/renyouheng/AI_Code/AdaptivePose/src/lib/../../exp/multi_pose_wodet/coco512', scale=0.4, scores_thresh=0.1, seed=317, shift=0.1, std=array([[[0.2886383 , 0.27408165, 0.27809834]]], dtype=float32), task='multi_pose_wodet', test=False, test_scales=[1.0], trainval=False, val_intervals=1, vis_thresh=0.3, wh_weight=0.1)
==> initializing coco 2017 val data.
loading annotations into memory...
Done (t=0.35s)
creating index...
index created!
Loaded val 5000 samples
Creating model...
backbone_Params: 19.72M
Traceback (most recent call last):
File "test.py", line 134, in
prefetch_test(opt)
File "test.py", line 58, in prefetch_test
detector = Detector(opt)
File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/detectors/multi_pose_wodet.py", line 26, in init
super(MultiPoseDetector_wodet, self).init(opt)
File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/detectors/base_detector.py", line 24, in init
self.model = create_model(opt.arch, opt.heads, opt.head_conv, is_train=False)
File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/models/model.py", line 30, in create_model
model = get_model(num_layers=num_layers, heads=heads, head_conv=head_conv)
File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/models/networks/pose_dla_dcn_v2.py", line 562, in get_pose_net
head_conv=head_conv)
File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/models/networks/pose_dla_dcn_v2.py", line 528, in init
self.sampler = Feat_sampler(head_conv)
TypeError: init() missing 1 required positional argument: 'hps_channel'

[buptxyb666]

ok了

[Yuhyeong]

上面的问题解决了哥，但是下面有一些其他的问题。劳烦您看一下

test.py中一开始我没指定权重，然后出现了这个报错

FileNotFoundError: [Errno 2] No such file or directory: '/home/renyouheng/AI_Code/AdaptivePose/src/lib/../../exp/multi_pose_wodet/coco512/model_last.pth'

之后我加入了 --load_model，没出问题，但是又出现下面的问题

Traceback (most recent call last):
  File "test.py", line 134, in <module>
    prefetch_test(opt)
  File "test.py", line 58, in prefetch_test
    detector = Detector(opt)
  File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/detectors/multi_pose_wodet.py", line 26, in __init__
    super(MultiPoseDetector_wodet, self).__init__(opt)
  File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/detectors/base_detector.py", line 25, in __init__
    self.model = load_model(self.model, opt.load_model)
  File "/home/renyouheng/AI_Code/AdaptivePose/src/lib/models/model.py", line 37, in load_model
    print('loaded {}, epoch {}'.format(model_path, checkpoint['epoch']))
KeyError: 'epoch'

接着我传入了--num_epochs 1，但是还是出现了这个错误。
为什么在测试中需要指定epoch呀铁铁

[buptxyb666]

指定载入模型在这里写定了

AdaptivePose/src/lib/opts.py

Line 287 in 3f9e0b3

opt.load_model = os.path.join(model_path, 'model_last.pth')

你可以在这稍微修改下，改成可传参数