Research Article
BLNN: Multiscale Feature Fusion-Based Bilinear Fine-Grained Convolutional Neural Network for Image Classification of Wood Knot Defects
Table 3
Experimental environment.
| Hardware environment | Software environment |
| Memory | 128.00 GB | System | Windows 10 | CPU | Intel(R) Xeon(R) Bronze 3204 CPU @ 1.90 GHz (6 core) | Environment configuration | Pytorch-gpu 1.8.0 + Python 3.8.8 + cuda 11.1 + cudnn 8.0.5 | Graphics card | NVIDIA GeForce RTX 3090 (24 G) |
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