add an all in one script

aioscript.sh

@@ -0,0 +1,131 @@
+#!/bin/bash
+
+# Define the conda initialization script
+CONDA_INIT_SCRIPT="$(conda info --base)/etc/profile.d/conda.sh"
+
+# Initialize conda if the script is found
+if [ -f "$CONDA_INIT_SCRIPT" ]; then
+    source "$CONDA_INIT_SCRIPT"
+else
+    echo "Error: Cannot find conda initialization script."
+    exit 1
+fi
+
+# Step 1: Clone the Project
+clone_project() {
+    echo "Cloning the project..."
+    git submodule update --init --recursive
+}
+
+# Step 2: Install TinyLlava Environment
+install_tinyllava() {
+    echo "Installing TinyLlava environment..."
+    cd TinyLLaVA_Factory
+    git apply ../OpenECAD_TinyLLaVA.patch
+
+    conda create -n tinyllava_factory python=3.10 -y
+    conda activate tinyllava_factory
+    pip install --upgrade pip  # enable PEP 660 support
+    pip install -e .
+    pip install "numpy<2.0.0"
+    ##pip install flash-attn --no-build-isolation  # for training
+    conda deactivate
+    cd ..
+
+    cd Bethany
+    conda create -n Bethany python=3.10 -y
+    conda activate Bethany
+    pip install -r requirements.txt
+    conda install -c conda-forge pythonocc-core=7.5.1
+    conda deactivate
+    cd ..
+}
+
+# Step 3: Download Trained Weight
+download_weights() {
+    echo "Downloading trained weights..."
+    # sudo apt install git-lfs
+    git lfs install
+    git clone https://huggingface.co/Yuki-Kokomi/OpenECADv2-SigLIP-2.4B
+}
+
+# Step 4: Download Test Images
+download_test_images() {
+    echo "Downloading test images..."
+    # sudo apt install unzip
+    wget https://huggingface.co/datasets/Yuki-Kokomi/OpenECADv2-Datasets/resolve/main/OpenECADv2_EvaluationExamples.zip
+    unzip OpenECADv2_EvaluationExamples.zip
+    rm -r "OpenECADv2_EvaluationExamples/Sample Output Codes"
+}
+
+# Step 5: Run and Get Results
+run_and_get_results() {
+    echo "Running and getting results (this may take a long time)..."
+    conda activate tinyllava_factory
+    # export LD_LIBRARY_PATH=/usr/lib/wsl/lib:$LD_LIBRARY_PATH
+    python run_model.py --model_path ./OpenECADv2-SigLIP-2.4B \
+        --src "./OpenECADv2_EvaluationExamples/Input Pictures and Reference Codes" \
+        --out "./OpenECADv2_EvaluationExamples/Output/Codes"
+    conda deactivate
+}
+
+# Step 6: Transfer Py to Step
+transfer_py_to_step() {
+    echo "Transferring py to step..."
+    cd Bethany
+    conda activate Bethany
+    python py2step.py --src ../OpenECADv2_EvaluationExamples/Output/Codes/Default \
+        -o ../OpenECADv2_EvaluationExamples/Output/Steps/Default
+    python step2img.py --src ../OpenECADv2_EvaluationExamples/Output/Steps/Default \
+        -o ../OpenECADv2_EvaluationExamples/Output/Images/Default --mode default --num -1
+    conda deactivate
+    cd ..
+}
+
+# Function to prompt user for step choice
+choose_step() {
+    echo "You need to install conda unzip cuda-11-8 git-lfs first."
+    echo "You should use huggingface-cli login first."
+    echo "Choose the step to run:"
+    echo "1. Clone Project"
+    echo "2. Install Environment"
+    echo "3. Download Trained Weight"
+    echo "4. Download Test Images"
+    echo "5. Run and Get Results"
+    echo "6. Transfer Py to Step"
+    echo "7. Exit"
+
+    read -p "Enter step number: " step_choice
+
+    case $step_choice in
+        1)
+            clone_project
+            ;;
+        2)
+            install_tinyllava
+            ;;
+        3)
+            download_weights
+            ;;
+        4)
+            download_test_images
+            ;;
+        5)
+            run_and_get_results
+            ;;
+        6)
+            transfer_py_to_step
+            ;;
+        7)
+            echo "Exiting script."
+            exit 0
+            ;;
+        *)
+            echo "Invalid option. Please choose a valid step number."
+            choose_step
+            ;;
+    esac
+}
+
+# Start the script by asking the user which step to begin with
+choose_step