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Well, you can train your own models on the CPU for real-time object detection tasks using the SOD ML library we just released recently https://sod.pixlab.io/c_
by symisc_devel 8y ago
Well, you can train your own models on the CPU for real-time object detection tasks using the SOD ML library we just released recently
https://sod.pixlab.io/c_api/sod_realnet_train_start.html https://sod.pixlab.io/c_api/sod_realnet_train_start.html
https://sod.pixlab.io https://sod.pixlab.io
- p1esk 8y agoHow much time does it take, compared to 1080Ti?
- symisc_devel 8y agoIt depends on your dataset. For example, a single class (face, pedestrian or car) object detection model with ten of thousands of positive samples should take at least 18 hours to complete on a modern Intel CPU with a target FPR (false positive rate) set to 0.00001. The lower the fpr is, the more training time is required. https://sod.pixlab.io/samples.html https://sod.pixlab.io/samples.html for some code samples.
- p1esk 8y agoI mean standard dataset and standard model, for example YOLO v2 on COCO. Say 1950X vs 1080Ti.
- WhitneyLand 8y agoSorry, I’m sure you didn’t mean to ignore the question. The commenter asked how the performance compares to an NVidia 1080Ti GPU. A precise benchmark may not be necessary but in general, it will take for example how many Skylake cores at 3.5 Ghz to approximate the GPU example?
- andbberger 8y agoOrders of magnitudes slower....