Update README.md

README.md

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 # Hypernerf Practice
 
-This README contains overview on applyiing two custom scenes to reproduce the hypernerf project.
+This README contains overview on applyiing several custom scenes to reproduce the hypernerf project.
 - hand
+- dvd
+- tomato-mark
+
+
+## hand
+
+most successful one, trained extensively on V100
+
+### interpolation:
 ![Image 1](hand-interpolate.gif)
+### novelview:
 ![Image 2](hand-novelview.gif)
 
 PSNR: <br>
 coarse metrics:  metric/psnr≈31.7468 <br>
 fine metrics:  metric/psnr≈32.5462
 
+## dvd
+
+not so great
+
+### interpolation & novelview:
+![Image 3](dvd-interpolate-novelview.gif)
+
+PSNR: <br>
+coarse metrics:  metric/psnr≈  <br>
+fine metrics:  metric/psnr≈ 
+
+## tomato-mark
+
+more artifacts
+
+![Image 4](dvd-interpolate-novelview.gif)
+PSNR: <br>
+coarse metrics:  metric/psnr≈  <br>
+fine metrics:  metric/psnr≈ 
+
+# reproduction steps
+
+Due to deprecation, the hypernerf project doesn't work out of the box. <br>
+We need code modifications to the environments, dependencies set up and rendering part. <br>
+For this reproduction, I only used the notebooks. <br>
+The provided instructions below are guaranteed to work.
+
+## before getting started
+
+Python 3.8 and Python 3.9 has been tested to work flawlessly. Python 3.10 will fail.
+
+### Colab
+
+Important Information: in May 2023, colab is updated to python 3.10, in order for this reproduction to work, select tools- command palatte - use fallback runtime. 
+This will change the runtime back to python 3.9.  <br>
+The fallback runtime is supported until mid May 2023, after that, we could only use other tricks to change the colab python version. <br>
+Colab TPU doesnot work here anymore, GPU runs flawlessly.
+
+
+### local machine
+
+Start with python 3.8 or python 3.9
+
+Install the following:
+
+    sudo apt-get install libilmbase-dev libopenexr-dev ffmpeg
+    
+Follow official colmap project to install with cuda support, or use default package manager to install colmap, but might only has cpu support.
+
+Then install pip requirements:
+
+    wget https://raw.githubusercontent.com/xieyizheng/hypernerf/main/requirements.txt
+    pip install -r requirements.txt
+
+With this, everything is set! The Processing, Training and Rendering notebooks should now work!
+
+
+
 
 
 ---