Research Article
Visual Detection Application of Lightweight Convolution and Deep Residual Networks in Wood Production
Table 1
Description of network structure parameters for MobileNetv2.
| Input | Operator | | | | |
| | Conv2d | | 32 | 1 | 2 | | Bottleneck | 1 | 16 | 1 | 1 | | Bottleneck | 6 | 24 | 2 | 2 | | Bottleneck | 6 | 32 | 3 | 2 | | Bottleneck | 6 | 64 | 4 | 2 | | Bottleneck | 6 | 96 | 3 | 1 | | Bottleneck | 6 | 160 | 3 | 2 | | Bottleneck | 6 | 320 | 1 | 1 | | | — | 1280 | 1 | 1 | | | — | — | 1 | — | | | — | k | — | — |
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