Comments (3)
GPU info:
nvidia-smi
Fri Dec 10 11:42:36 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.44 Driver Version: 460.32.03 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla P100-PCIE... Off | 00000000:00:04.0 Off | 0 |
| N/A 36C P0 26W / 250W | 0MiB / 16280MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
from pedestrian-synthesis-gan.
@bilzard change _id to device in networks.py it would work.
from pedestrian-synthesis-gan.
Related Issues (20)
- Training on Custom data and objects besides person HOT 4
- how to prepare dataset HOT 2
- python test.py --dataroot ./datasets HOT 1
- Using Spatial Pyramid Pooling to input images of different sizes HOT 1
- Why not good performance HOT 3
- About PatchGAN HOT 1
- 请问您使用的CUDA和pytorch版本是多少呢,我想在我自己这里运行一下您的程序 HOT 3
- pretrained model
- GAN
- Python version problem HOT 2
- Generating the noisy data
- spp-layer
- detection setup
- Data preprocessing code HOT 3
- 数据集制作 HOT 1
- torch.nn.MaxPool2d() RuntimeError
- Confusing bounding box key name HOT 1
- Should person discriminator's loss be back-propagated to generator? HOT 3
- trained Model HOT 1
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from pedestrian-synthesis-gan.