Skip to content

AP an loss are always 0 #110

Description

@zsy7532

image
I modified the number of keypoints to 3, and the parameters i set are :
self: <training.COCO.COCOTrain object at 0x7f21157035e0>
exp_name: 20240619_1104
ds_train: <datasets.COCO.COCODataset object at 0x7f2115703250>
ds_val: <datasets.COCO.COCODataset object at 0x7f21156fcf70>
epochs: 200
batch_size: 4
num_workers: 4
loss: JointsMSELoss
lr: 1e-05
lr_decay: True
lr_decay_steps: (170, 200)
lr_decay_gamma: 0.1
optimizer: Adam
weight_decay: 0.0001
momentum: 0.9
nesterov: False
pretrained_weight_path: /root/autodl-tmp/simple-HRNet/hrnet_w32-36af842e.pth
checkpoint_path: None
log_path: ./logs
use_tensorboard: True
model_c: 32
model_nof_joints: 3
model_bn_momentum: 0.1
flip_test_images: False
device: cuda:0
class: <class 'training.Train.Train'>
Please tell how to solve it?

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions