https://deeplearning.earth/tags/export/Recent content in Export on DeepLearning.EarthHugo -- gohugo.ioenMon, 12 Oct 2026 06:30:00 +0700https://deeplearning.earth/posts/2026-10-08_onnx_export_without_pytorch/Thu, 08 Oct 2026 06:00:00 +0700https://deeplearning.earth/posts/2026-10-08_onnx_export_without_pytorch/Train on the GPU box. Send the infer box a small graph. oriented-det writes a pre-NMS ONNX file. The graph decodes the boxes. A few lines of Python prepare the image and run the rotated NMS. The machine that runs it needs numpy, Pillow, and ONNX Runtime. For a tiled optical scene at 1024 pixels, that is enough to ship this week. The commands are below. ONNX Runtime overlay — Rotated FCOS DOTA 1× Hub on the export demo tile (score ≥ 0.