From 80724a666d54e9965632f7e966fc56758da95a04 Mon Sep 17 00:00:00 2001
From: Laure Ciernik <64899273+lciernik@users.noreply.github.com>
Date: Wed, 6 Aug 2025 16:28:20 +0200
Subject: [PATCH 1/2] revert to old setup where extra packages need to be
 installed afterwards

---
 README.md        | 17 +++++++++++++----
 requirements.txt |  4 ++--
 setup.py         |  8 +-------
 3 files changed, 16 insertions(+), 13 deletions(-)

diff --git a/README.md b/README.md
index b9d71e0..685f391 100644
--- a/README.md
+++ b/README.md
@@ -97,17 +97,26 @@ Neural networks come from different sources. With `thingsvision`, you can extrac
 <!-- Setting up your environment -->
 ### :computer: Setting up your environment
 #### Working locally
-First, create a new `conda environment` with Python version 3.10, 3.11, or 3.12 e.g. by using `conda`:
+First, create a new `conda environment` with Python version 3.10, or 3.11 e.g. by using `conda`:
 ```bash
 $ conda create -n thingsvision python=3.10
 $ conda activate thingsvision
 ```
 Then, activate the environment and simply install `thingsvision` via running the following `pip` command in your terminal.
 ```bash
-$ pip install --upgrade thingsvision[full]
+$ pip install --upgrade thingsvision
+$ pip install git+https://github.com/openai/CLIP.git
 ```
-
-The package automatically installs the [Harmonization](https://github.com/serre-lab/harmonization) and [DreamSim](https://github.com/ssundaram21/dreamsim) repositories. See the documentation for available [harmonized models](https://vicco-group.github.io/thingsvision/AvailableModels.html#harmonization) and [DreamSim models](https://vicco-group.github.io/thingsvision/AvailableModels.html#dreamsim) in `thingsvision`.
+If you want to extract features for [harmonized models](https://vicco-group.github.io/thingsvision/AvailableModels.html#harmonization) from the [Harmonization repo](https://github.com/serre-lab/harmonization), you have to additionally run the following `pip` command in your `thingsvision` environment,
+```bash
+$ pip install "keras-cv-attention-models>=1.3.5" "vit-keras==0.1.2"
+$ pip install git+https://github.com/serre-lab/Harmonization.git
+```
+If you want to extract features for [DreamSim](https://dreamsim-nights.github.io/) from the [DreamSim repo](https://github.com/ssundaram21/dreamsim), you have to additionally run the following `pip` command in your `thingsvision` environment,
+```bash
+$ pip install dreamsim==0.1.3
+```
+See the [docs](https://vicco-group.github.io/thingsvision/AvailableModels.html#dreamsim) for which `DreamSim` models are available in `thingsvision`.
 
 #### Google Colab
 Alternatively, you can use Google Colab to play around with `thingsvision` by uploading your image data to Google Drive (via directory mounting).
diff --git a/requirements.txt b/requirements.txt
index 709a05c..3b2b1f5 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,5 @@
 ftfy
 h5py
-keras-cv-attention-models>=1.3.5
 matplotlib
 numba
 numpy<2
@@ -20,6 +19,7 @@ tqdm
 transformers==4.40.1
 pytest
 git+https://github.com/openai/CLIP.git
-dreamsim==0.1.3
+keras-cv-attention-models>=1.3.5
 vit-keras==0.1.2
 git+https://github.com/serre-lab/Harmonization.git
+dreamsim==0.1.3
diff --git a/setup.py b/setup.py
index 075bc37..ff2df9e 100644
--- a/setup.py
+++ b/setup.py
@@ -49,11 +49,5 @@
         "Operating System :: OS Independent",
     ],
     entry_points={"console_scripts": ["thingsvision = thingsvision.thingsvision:main"]},
-    python_requires=">=3.10",
-    extras_require={
-        "clip": ["CLIP @ git+https://github.com/openai/CLIP.git"],
-        "dreamsim": ["dreamsim==0.1.3"],
-        "harmonization": ["keras-cv-attention-models>=1.3.5", "vit-keras==0.1.2","Harmonization @ git+https://github.com/serre-lab/Harmonization.git"],
-        "full":["CLIP @ git+https://github.com/openai/CLIP.git", "dreamsim==0.1.3", "keras-cv-attention-models>=1.3.5", "vit-keras==0.1.2","Harmonization @ git+https://github.com/serre-lab/Harmonization.git" ],
-    }
+    python_requires=">=3.10"
 )

From b8ff0258884f9f6bd1ebf0a2a8ab7527caeba631 Mon Sep 17 00:00:00 2001
From: Laure Ciernik <64899273+lciernik@users.noreply.github.com>
Date: Wed, 6 Aug 2025 16:29:19 +0200
Subject: [PATCH 2/2] typo

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 685f391..7d137d5 100644
--- a/README.md
+++ b/README.md
@@ -97,7 +97,7 @@ Neural networks come from different sources. With `thingsvision`, you can extrac
 <!-- Setting up your environment -->
 ### :computer: Setting up your environment
 #### Working locally
-First, create a new `conda environment` with Python version 3.10, or 3.11 e.g. by using `conda`:
+First, create a new `conda environment` with Python version 3.10, 3.11, or 3.12 e.g. by using `conda`:
 ```bash
 $ conda create -n thingsvision python=3.10
 $ conda activate thingsvision