CLAUDE: broaden scope — general PyTorch DNN-companions repo (not CUAS-only)

Per Andrey: future DNN companions to imagej-elphel (all PyTorch, not Java) live here too. README + per-file
header tagline generalized accordingly.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

README.md

 # imagej_elphel_dnn
 
-DNN companion to [imagej-elphel](https://git.elphel.com/Elphel/imagej-elphel) for tile-processor
-motion detection / ranging. GPLv3.
+**PyTorch DNN companions to [imagej-elphel](https://git.elphel.com/Elphel/imagej-elphel).** GPLv3.
 
-## Layers
-- **L1 — `RawFCN`** (`model.py`): fully-convolutional patch net `[B,N,P,P] -> [B,C,1,1]`, slid densely over
-  the full frame (no FC layers). Per-tile detection logit + velocity field. Trained on synthetic sequences.
+A shared home for Elphel's deep-learning models that augment the ImageJ/tile-processor pipeline — Python/PyTorch
+(the Java side stays in imagej-elphel). New DNN companions (beyond the current motion-detection set) land here too.
+
+## Current models
+- **L1 — `RawFCN`** (`model.py`): fully-convolutional patch net `[B,N,P,P] -> [B,C,1,1]` slid densely over the
+  full frame (no FC layers) — per-tile detection logit + velocity field, trained on synthetic sequences.
 - **L2 — `Layer2Net` / ConvGRU on a torus** (`layer2.py`): learned track-before-detect over the L1 field.
 
 ## Workflow
-- Training / eval / synthetic data generation: `train.py`, `layer2_train*.py`, `gen_synth_cuas.py`, `synth.py`, eval scripts.
-- Inference (dev/remote): `infer_server.py` (+ `run_infer_server.sh`) — PyTorch server.
-- **Deployment export:** `export_torchscript.py` produces a self-contained TorchScript `.pt` (weights + graph),
-  loaded natively (no Python) by LibTorch in [tile_processor_gpu](https://git.elphel.com/Elphel/tile_processor_gpu)
-  and bundled as a resource in imagej-elphel (`resources/cuas_dnn/`). Build-once on a dev box (PyTorch);
-  deployment needs only the NVIDIA driver + libtorch runtime + the bundled `.pt`.
+- Training / eval / synthetic data: `train.py`, `layer2_train*.py`, `gen_synth_cuas.py`, `synth.py`, eval scripts.
+- Inference (dev/remote): `infer_server.py` (+ `run_infer_server.sh`).
+- **Deployment export:** `export_torchscript.py` → self-contained TorchScript `.pt` (weights+graph), loaded
+  natively (no Python) by LibTorch in [tile_processor_gpu](https://git.elphel.com/Elphel/tile_processor_gpu),
+  bundled as an imagej-elphel resource. Build-once on a dev box (PyTorch); deployment needs only the NVIDIA
+  driver + libtorch runtime + the bundled `.pt`.
 
 Checkpoints (`runs/`) are training outputs and are not tracked.

baselines.py

-# baselines.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# baselines.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

build_combo3.py

-# build_combo3.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# build_combo3.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

clean_eval_fwhm.py

-# clean_eval_fwhm.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# clean_eval_fwhm.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

compare_dnn_truth.py

 #!/usr/bin/env python3
-# compare_dnn_truth.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# compare_dnn_truth.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

dense_check.py

 #!/usr/bin/env python3
-# dense_check.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# dense_check.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

diag_clean.py

-# diag_clean.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# diag_clean.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

eval_mfs.py

-# eval_mfs.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# eval_mfs.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

export_onnx.py

-# export_onnx.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# export_onnx.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

export_refine.py

-# export_refine.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# export_refine.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

export_torchscript.py

-# export_torchscript.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# export_torchscript.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

extract_B.py

 #!/usr/bin/env python3
-# extract_B.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# extract_B.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

gap_eval.py

-# gap_eval.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# gap_eval.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

gen_synth_cuas.py

 #!/usr/bin/env python3
-# gen_synth_cuas.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# gen_synth_cuas.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

ghost_probe.py

 #!/usr/bin/env python3
-# ghost_probe.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# ghost_probe.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

infer_server.py

 #!/usr/bin/env python3
-# infer_server.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# infer_server.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

l1_samples.py

-# l1_samples.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# l1_samples.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

l2_fp_analysis.py

-# l2_fp_analysis.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# l2_fp_analysis.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2.py

-# layer2.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2_data.py

-# layer2_data.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2_data.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2_eval.py

-# layer2_eval.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2_eval.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2_gapcheck.py

-# layer2_gapcheck.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2_gapcheck.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2_train.py

-# layer2_train.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2_train.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2_train_A.py

-# layer2_train_A.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2_train_A.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2_train_P.py

-# layer2_train_P.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2_train_P.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

layer2p.py

-# layer2p.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# layer2p.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

make_testvec.py

-# make_testvec.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# make_testvec.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

model.py

-# model.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# model.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

nettest.py

 #!/usr/bin/env python3
-# nettest.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# nettest.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

partial_votes.py

-# partial_votes.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# partial_votes.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

run_infer_server.sh

 #!/usr/bin/env bash
-# run_infer_server.sh - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# run_infer_server.sh - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

run_l2A.sh

 #!/usr/bin/env bash
-# run_l2A.sh - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# run_l2A.sh - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

run_l2_chain.sh

 #!/usr/bin/env bash
-# run_l2_chain.sh - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# run_l2_chain.sh - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

run_l2_dense.sh

 #!/usr/bin/env bash
-# run_l2_dense.sh - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# run_l2_dense.sh - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

run_l2_seq.sh

 #!/usr/bin/env bash
-# run_l2_seq.sh - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# run_l2_seq.sh - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

shake.py

-# shake.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# shake.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

stage2.py

-# stage2.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# stage2.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

stage2_eval3.py

-# stage2_eval3.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# stage2_eval3.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

synth.py

-# synth.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# synth.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

test_infer_client.py

 #!/usr/bin/env python3
-# test_infer_client.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# test_infer_client.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

train.py

-# train.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# train.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

velocity_bias.py

 #!/usr/bin/env python3
-# velocity_bias.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# velocity_bias.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

viz_results.py

-# viz_results.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# viz_results.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

viz_trainingdata.py

-# viz_trainingdata.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# viz_trainingdata.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #

vote_1d.py

-# vote_1d.py - part of imagej_elphel_dnn (Elphel DNN: tile-processor motion detection / ranging)
+# vote_1d.py - part of imagej_elphel_dnn — Elphel PyTorch DNN companions to imagej-elphel
 #
 # Copyright (C) 2026 Elphel, Inc.
 #