CIS565-Fall-2020 · EvsChen · Oct 21, 2020 · Oct 21, 2020 · Oct 21, 2020 · Oct 21, 2020
diff --git a/.vscode/settings.json b/.vscode/settings.json
@@ -0,0 +1,6 @@
+{
+  "files.associations": {
+    "*.js ": "javascript",
+    "iostream": "cpp"
+  }
+}
diff --git a/README.md b/README.md
@@ -3,11 +3,51 @@ CUDA Denoiser For CUDA Path Tracer
 
 **University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 4**
 
-* (TODO) YOUR NAME HERE
-* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab)
+* Shenyue Chen
+  * [LinkedIn](https://www.linkedin.com/in/shenyue-chen-5b2728119/), [personal website](http://github.com/EvsChen)
+* Tested on: Windows 10, Intel Xeon Platinum 8259CL @ 2.50GHz 16GB, Tesla T4 (AWS g4dn-xlarge)
 
-### (TODO: Your README)
 
-*DO NOT* leave the README to the last minute! It is a crucial part of the
-project, and we will not be able to grade you without a good README.
+## Performance analysis
+
+### Render time 
+For the cornell box scene, we measure the average time per iteration, which is quite stable, around 0.11s per iteration.
+<p align="center">
+<img src="./result/render_time.png" />
+</p>
+
+### Denoise time
+To analyze the time used to denoise, first we consider the image of 800 * 800 resolution, we change the number of filter levels. We could observe that the time needed to denoise increases for the first levels but remain stable when the stepwidth gets too big, which is expected. Compare the denoise time with the render timer per iteration we get from the previous section. The denoise time is roughly equal to one iteration for the cornell box scene.
+<p align="center">
+<img src="./result/denoise_time.png" />
+</p>
+
+#### Denoise performance for different levels
+We can observe the denoise performance for different levels under the same cornell scene. The result clearly gets better as the number of filter levels grow.
+<p align="center">
+<span>200 iter 1 filter levels</span>
+<img src="./result/200samp.1filter.png" />
+</p>
+<p align="center">
+<span>200 iter 3 filter levels</span>
+<img src="./result/200samp.3filter.png" />
+</p>
+<p align="center">
+<span>200 iter 5 filter levels</span>
+<img src="./result/200samp.5filter.png" />
+</p>
+
+
+### Denoise in different resolutions
+To measure the denoise time in different resolutions, we very the resolution from 400 * 400 to 1000 * 1000, all using 5 denoise levels. From the plot we can see that the denoise time increases in a linear manner.
+<p align="center">
+<img src="./result/denoise_res_time.png" />
+</p>
+
+### Denoise performace in different scenes
+We can compare the performance of the denoiser in different scenes. Here we choose 50 iterations + 5 filter levels. From the results, it seems that the denoiser performs better in fully-lighted scenarios.
+||Original|Denoised|
+|-------|-------|---------------|
+|Cornell|<img src="./result/cornell_original.png" />|<img src="./result/cornell_denoise.png" />|
+|Cornell celing|<img src="./result/ceiling_original.png" />|<img src="./result/ceiling_denoise.png" />|
 
diff --git a/analyze.py b/analyze.py
@@ -0,0 +1,35 @@
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+# render_iter = [ 104, 259, 362, 465, 568, 671, 774, 877, 980, 1083]
+# render_time = [ 1.24543, 3.04093, 4.31031,  5.61925, 6.78034,  8.0182, 9.21798, 10.4139, 11.7103, 12.8612]
+# render_time = [ render_time[i] / render_iter[i] for i in range(0, len(render_iter))]
+# plt.plot(render_iter, render_time, label="base")
+
+# plt.title("Average time per iteration")
+# plt.xlabel("First # of iterations")
+# plt.ylabel("Average time (s)")
+# plt.show()
+
+# denoise_time = [0.004441, 0.0049572, 0.0065664, 0.0072701, 0.0082553, 0.0106892, 0.0108782, 0.0116914]
+# x = [i for i in range(0, len(denoise_time))]
+# plt.plot(x, denoise_time)
+
+# plt.title("Denoise time")
+# plt.xlabel("# of denoise levels")
+# plt.ylabel("Denoise time (s)")
+# plt.show()
+
+
+resolution = [400, 500, 600, 700, 800, 900, 1000]
+resolution_time = [ 0.0023007,  0.0033596, 0.0046226, 0.0060183, 0.0082553, 0.0107577,  0.0126112]
+plt.plot(resolution, resolution_time)
+
+plt.title("Denoise time for 5 denoise levels")
+plt.xlabel("One side resolution")
+plt.ylabel("Denoise time (s)")
+plt.show()
+
+
+
diff --git a/result/200samp.1filter.png b/result/200samp.1filter.png
diff --git a/result/200samp.2filter.png b/result/200samp.2filter.png
diff --git a/result/200samp.3filter.png b/result/200samp.3filter.png
diff --git a/result/200samp.4filter.png b/result/200samp.4filter.png
diff --git a/result/200samp.5filter.png b/result/200samp.5filter.png
diff --git a/result/200samp.6filter.png b/result/200samp.6filter.png
diff --git a/result/200samp.7filter.png b/result/200samp.7filter.png
diff --git a/result/ceiling_denoise.png b/result/ceiling_denoise.png
diff --git a/result/ceiling_original.png b/result/ceiling_original.png
diff --git a/result/cornell.2020-10-21_07-30-36z.2423samp.png b/result/cornell.2020-10-21_07-30-36z.2423samp.png
diff --git a/result/cornell.2020-10-21_20-11-44z.181samp.png b/result/cornell.2020-10-21_20-11-44z.181samp.png
diff --git a/result/cornell.2020-10-21_20-35-13z.10samp.5filter.png b/result/cornell.2020-10-21_20-35-13z.10samp.5filter.png
diff --git a/result/cornell.2020-10-21_20-35-40z.10samp.10filter.png b/result/cornell.2020-10-21_20-35-40z.10samp.10filter.png
diff --git a/result/cornell.2020-10-21_20-36-12z.10samp.5filter.png b/result/cornell.2020-10-21_20-36-12z.10samp.5filter.png
diff --git a/result/cornell.2020-10-21_20-36-29z.10samp.5filter.png b/result/cornell.2020-10-21_20-36-29z.10samp.5filter.png
diff --git a/result/cornell.2020-10-21_20-37-34z.50samp.5filter.png b/result/cornell.2020-10-21_20-37-34z.50samp.5filter.png
diff --git a/result/cornell.2020-10-21_20-37-47z.50samp.10filter.png b/result/cornell.2020-10-21_20-37-47z.50samp.10filter.png
diff --git a/result/cornell.2020-10-21_20-38-04z.50samp.5filter.png b/result/cornell.2020-10-21_20-38-04z.50samp.5filter.png
diff --git a/result/cornell.2020-10-21_20-38-19z.50samp.5filter.png b/result/cornell.2020-10-21_20-38-19z.50samp.5filter.png
diff --git a/result/cornell.2020-10-21_20-40-33z.200samp.1filter.png b/result/cornell.2020-10-21_20-40-33z.200samp.1filter.png
diff --git a/result/cornell.2020-10-21_20-40-33z.200samp.2filter.png b/result/cornell.2020-10-21_20-40-33z.200samp.2filter.png
diff --git a/result/cornell.2020-10-21_20-40-33z.200samp.3filter.png b/result/cornell.2020-10-21_20-40-33z.200samp.3filter.png
diff --git a/result/cornell.2020-10-21_20-40-33z.200samp.4filter.png b/result/cornell.2020-10-21_20-40-33z.200samp.4filter.png
diff --git a/result/cornell.2020-10-21_20-40-33z.200samp.5filter.png b/result/cornell.2020-10-21_20-40-33z.200samp.5filter.png
diff --git a/result/cornell.2020-10-21_20-40-33z.200samp.6filter.png b/result/cornell.2020-10-21_20-40-33z.200samp.6filter.png
diff --git a/result/cornell.2020-10-21_20-40-33z.200samp.7filter.png b/result/cornell.2020-10-21_20-40-33z.200samp.7filter.png
diff --git a/result/cornell_denoise.png b/result/cornell_denoise.png
diff --git a/result/cornell_original.png b/result/cornell_original.png
diff --git a/result/denoise_res_time.png b/result/denoise_res_time.png
diff --git a/result/denoise_time.png b/result/denoise_time.png
diff --git a/result/render_time.png b/result/render_time.png
diff --git a/scenes/cornell.txt b/scenes/cornell.txt
@@ -52,7 +52,7 @@ EMITTANCE   0
 CAMERA
 RES         800 800
 FOVY        45
-ITERATIONS  5000
+ITERATIONS  50
 DEPTH       8
 FILE        cornell
 EYE         0.0 5 10.5

diff --git a/scenes/cornell_ceiling_light.txt b/scenes/cornell_ceiling_light.txt
@@ -52,9 +52,9 @@ EMITTANCE   0
 CAMERA
 RES         800 800
 FOVY        45
-ITERATIONS  10
+ITERATIONS  50
 DEPTH       8
-FILE        cornell
+FILE        cornell_ceiling_light
 EYE         0.0 5 10.5
 LOOKAT      0 5 0
 UP          0 1 0