Publish converted PyTorch checkpoint

Converted with Piscis 1.0.0 after exact tensor-level validation of the converter against the published 20230905 JAX/.pt pair.

README.md

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+---
+library_name: pytorch
+license: mit
+tags:
+- piscis
+- microscopy
+- spot-detection
+- fluorescence-microscopy
+---
+
+# Piscis ps_20240419_112256
+
+PyTorch conversion of the legacy Piscis JAX checkpoint
+[`wniu/ps_20240419_112256`](https://huggingface.co/wniu/ps_20240419_112256),
+for Flax-free inference in NimbusImage's Piscis Predict and Train workers.
+
+## Conversion validation
+
+The Piscis 1.0.0 JAX-to-PyTorch converter was first validated against the
+published `20230905` JAX and PyTorch checkpoint pair. All 583 tensors matched
+exactly in key, shape, dtype, and value; the maximum absolute difference was
+`0.0`. The same validated converter produced this checkpoint.
+
+- Source checkpoint SHA-256: `28fea47454c108dac5e2899f5c4f84fd489792f28fbd5d6b3e002236516952e2`
+- Converted checkpoint SHA-256: `f281a239d1d5075ee2342c4772ba7167c441f878e5345c632436caf3b43d320a`
+- Converted checkpoint size: `30,083,712` bytes
+- State dictionary: 583 tensors
+- Metadata: `adjustment=standardize`, `input_size=(256, 256)`, `dilation_iterations=1`, `channels=1`

ps_20240419_112256.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f281a239d1d5075ee2342c4772ba7167c441f878e5345c632436caf3b43d320a
+size 30083712