Unofficial ONNX conversion of DEIM (Intellindust AI Lab) — dfine-m
Single-file ONNX exporting the raw model outputs (no NMS, no sigmoid, no top-k, no resizing — all pre/postprocessing stays outside the graph). Unofficial conversion; not endorsed by the upstream authors. Upstream-reported COCO AP: 52.7 (not re-measured here).
Input contract
| name | images |
| dtype / layout | float32, NCHW |
| shape | [1, 3, 640, 640] (static) |
Preprocessing: RGB → resize (stretch) to 640×640 → float32 ÷255 → ÷255, no mean/std normalization → HWC→CHW → batch dim.
Output contract
| output | shape | meaning |
|---|---|---|
logits |
[1, 300, 80] |
raw class logits (apply sigmoid yourself) |
pred_boxes |
[1, 300, 4] |
normalized cxcywh |
80-class COCO (contiguous 0..79), 300 queries, DETR-style set prediction — no NMS.
Artifact
model.onnx SHA-256 |
259bc34835243fbcc42f69e7b5b1dc9eda25a77cd7ecf4261950d472c3c4a05c (77,925,210 bytes) |
License
Apache-2.0 (see LICENSE / NOTICE). Upstream: DEIM (Intellindust AI Lab).
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