We're reproducing several Table 1 tasks to benchmark against our own method, and have hit two access issues we couldn't resolve from the public README alone.
1. Dataset download links return HTTP 503
The following download.fht.org links (referenced in the README, incl. around README lines 164–165 for the HT-LIF24 exposures) consistently return HTTP 503 for us, retried across several days (2026-07-03/04/05) and from two networks:
- HT-LIF24 3 ms and 5 ms exposure archives (Tasks XIV, XXV, XXVI, XXIX)
- CARE3D (CBG-Z18 / CBG-N18) — Tasks XXI, XXII
- HHMI-D25 archives (8-bit / 16-bit / binned / noise variants) — Tasks XXIII, XXXI–XXXVI
The 500 ms, 2 ms, and 20 ms HT-LIF24 data downloaded fine; only the above return 503. Are there working mirrors, or is the host temporarily down?
2. Pretrained checkpoints
Are per-dataset/per-task pretrained checkpoints available anywhere (the exact models behind the Table 1 numbers)? We already have the HT-LIF24 500 ms checkpoint. Having the released models would let us compare against your exact runs under an identical pipeline rather than only against the paper numbers.
3. (Secondary) P23A / ExpMicroscopyV1 2D config
The repo has configs/data/exp_microscopy_v1.py but we couldn't find a matching 2D dataset loader / parameters module for P23A. Is there a 2D config+params for ExpMicroscopyV1, or was P23A only run in 3D?
Environment: careamics 0.0.9, microsplit_reproducibility (current main), torch 2.5.1+cu124, Python 3.9, Linux.
Thanks!
We're reproducing several Table 1 tasks to benchmark against our own method, and have hit two access issues we couldn't resolve from the public README alone.
1. Dataset download links return HTTP 503
The following
download.fht.orglinks (referenced in the README, incl. around README lines 164–165 for the HT-LIF24 exposures) consistently return HTTP 503 for us, retried across several days (2026-07-03/04/05) and from two networks:The 500 ms, 2 ms, and 20 ms HT-LIF24 data downloaded fine; only the above return 503. Are there working mirrors, or is the host temporarily down?
2. Pretrained checkpoints
Are per-dataset/per-task pretrained checkpoints available anywhere (the exact models behind the Table 1 numbers)? We already have the HT-LIF24 500 ms checkpoint. Having the released models would let us compare against your exact runs under an identical pipeline rather than only against the paper numbers.
3. (Secondary) P23A / ExpMicroscopyV1 2D config
The repo has
configs/data/exp_microscopy_v1.pybut we couldn't find a matching 2D dataset loader / parameters module for P23A. Is there a 2D config+params for ExpMicroscopyV1, or was P23A only run in 3D?Environment: careamics 0.0.9, microsplit_reproducibility (current main), torch 2.5.1+cu124, Python 3.9, Linux.
Thanks!