Adding new/updated cellcanvas_generate-pixel-embedding_0.1.7

cellcanvas · Aug 11, 2024 · bc2cefd · bc2cefd
1 parent 3850317
commit bc2cefd
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Showing 4 changed files with 10 additions and 9 deletions.
diff --git a/album_catalog_index.db b/album_catalog_index.db
diff --git a/solutions/cellcanvas/generate-pixel-embedding/CHANGELOG.md b/solutions/cellcanvas/generate-pixel-embedding/CHANGELOG.md
@@ -4,6 +4,9 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.1.7] - 2024-08-11
+Remove defaults
+
 ## [0.1.6] - 2024-08-09
 
 

diff --git a/solutions/cellcanvas/generate-pixel-embedding/solution.py b/solutions/cellcanvas/generate-pixel-embedding/solution.py
@@ -7,7 +7,6 @@
   - pytorch
   - nvidia
   - conda-forge
-  - defaults
 dependencies:
   - python=3.10
   - cudatoolkit=11.8
@@ -174,8 +173,8 @@ def sliding_window_processor(image, roi_size, overlap, device):
 setup(
     group="cellcanvas",
     name="generate-pixel-embedding",
-    version="0.1.6",
-    title="Predict Tomogram Embeddings with SwinUNETR using Copick API and generate the tensorboard files",
+    version="0.1.7",
+    title="Predict Tomogram Embeddings with SwinUNETR using Copick API",
     description="Apply a SwinUNETR model to a tomogram fetched using the Copick API to produce embeddings, and save them in a Zarr.",
     solution_creators=["Kyle Harrington"],
     tags=["prediction", "deep learning", "cryoet", "tomogram"],
@@ -193,4 +192,4 @@ def sliding_window_processor(image, roi_size, overlap, device):
     dependencies={
         "environment_file": env_file
     },
-)
+)
diff --git a/solutions/cellcanvas/generate-pixel-embedding/solution.yml b/solutions/cellcanvas/generate-pixel-embedding/solution.yml
@@ -24,7 +24,7 @@ args:
   name: embedding_name
   required: true
   type: string
-changelog: null
+changelog: Remove defaults
 description: Apply a SwinUNETR model to a tomogram fetched using the Copick API to
   produce embeddings, and save them in a Zarr.
 group: cellcanvas
@@ -37,7 +37,6 @@ tags:
 - deep learning
 - cryoet
 - tomogram
-timestamp: '2024-08-09T15:13:18.262701'
-title: Predict Tomogram Embeddings with SwinUNETR using Copick API and generate the
-  tensorboard files
-version: 0.1.6
+timestamp: '2024-08-11T10:17:32.207012'
+title: Predict Tomogram Embeddings with SwinUNETR using Copick API
+version: 0.1.7