Add .DS_Store to .gitignore and update README.md and model files

.gitignore

@@ -160,4 +160,7 @@ cython_debug/
 #.idea/
 
 # Pytorch
-*.pth
+*.pth
+
+# Miscellaneous
+.DS_Store

README.md

@@ -1,3 +1,5 @@
+<img src="assets/CellMapLogo2.png" alt="CellMap logo" width="85%">
+
 # cellmap-models
 
 [![tests](https://github.com/janelia-cellmap/cellmap-models/actions/workflows/tests.yaml/badge.svg)](https://github.com/janelia-cellmap/cellmap-models/actions/workflows/tests.yaml)

src/cellmap_models/pytorch/cellpose/README.md

@@ -5,7 +5,17 @@ This directory contains finetuned scripts for downloading Cellpose models, parti
 
 ## Models
 
-...
+### Trained on p7 mouse tissues
+- __CP_jrc_mus-thymus-1-nuc-2__: trained on thymus nuclei
+- __CP_jrc_mus-skin-1-nuc__:
+- __CP_jrc_mus-pancreas-4_nuc__:
+- __CP_jrc_mus-heart-1-nuc-2__:
+- __CP_jrc_mus-heart-1-ecs__:
+- __CP_jrc_mus-epididymis-1-nuc__:
+- __CP_jrc_mus-epididymis-2-nuc__:
+- __CP_jrc_mus-kidney-3-nuc-2__:
+- __CP_jrc_mus-liver-3-nuc-2__:
+- __CP_jrc_mus-hippocampus-1-nuc-2__:
 
 ## Usage
 

src/cellmap_models/pytorch/cellpose/__init__.py

@@ -1,2 +1,17 @@
 from .add_model import add_model
 from .load_model import load_model
+
+models_dict = {
+    "CP_jrc_mus-thymus-1-nuc-2": "...",
+    "CP_jrc_mus-skin-1-nuc": "...",
+    "CP_jrc_mus-pancreas-4_nuc": "...",
+    "CP_jrc_mus-heart-1-nuc-2": "...",
+    "CP_jrc_mus-heart-1-ecs": "...",
+    "CP_jrc_mus-epididymis-1-nuc": "...",
+    "CP_jrc_mus-epididymis-2-nuc": "...",
+    "CP_jrc_mus-kidney-3-nuc-2": "...",
+    "CP_jrc_mus-liver-3-nuc-2": "...",
+    "CP_jrc_mus-hippocampus-1-nuc-2": "...",
+}
+
+models_list = list(models_dict.keys())

src/cellmap_models/pytorch/cosem/README.md

@@ -1,3 +1,5 @@
+<img src="../../../../assets/COSEM_logo_semi-invert_transparent.png" alt="CellMap logo" width="85%">
+
 # COSEM Trained PyTorch Networks
 
 This repository contains the COSEM trained networks, converted to PyTorch. The original COSEM repository can be found [here](https://open.quiltdata.com/b/janelia-cosem-networks/tree/v0003.2/) and the original COSEM paper can be found [here](https://doi.org/10.1038/s41586-021-03977-3).