restartingHEADmaster

7 files changed, 274 insertions, 0 deletions

diff --git a/live_play/.gpu_migration.py.swo b/live_play/.gpu_migration.py.swo
new file mode 100644
index 0000000..4806821
--- /dev/null
+++ b/live_play/.gpu_migration.py.swo
diff --git a/live_play/.gpu_migration.py.swp b/live_play/.gpu_migration.py.swp
new file mode 100644
index 0000000..29b75a7
--- /dev/null
+++ b/live_play/.gpu_migration.py.swp
diff --git a/live_play/.kernel.c.swp b/live_play/.kernel.c.swp
new file mode 100644
index 0000000..6ab3a51
--- /dev/null
+++ b/live_play/.kernel.c.swp
diff --git a/live_play/gpu_migration.py b/live_play/gpu_migration.py
new file mode 100755
index 0000000..4269bcc
--- /dev/null
+++ b/live_play/gpu_migration.py
@@ -0,0 +1,154 @@
+#!/usr/bin/env python3
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+import matplotlib.style as mplstyle
+import pyopencl as cl
+from alive_progress import alive_bar
+from matplotlib.backend_bases import MouseButton
+from PIL import Image
+
+# HELLO READER ------------------------------------------------------------------------
+# yes, I know this script is horrid, but it's more of a scratchpad to quickly test ideas
+# and not anything I'm ever going to show anyone else.
+
+img_res_x = 1000
+img_res_y = 1000
+total_pixels = img_res_x * img_res_y # so we don't gotta compute it every time
+
+periods = 1
+square_x = 0
+square_y = -2
+
+escape = 10000
+iterations = (255*3)*2
+c_x = 2 * np.pi
+c_y = 2 * np.pi
+
+animation_progres_save = "ani1_less.mp4"
+single_frame_save = "asdf.png"
+
+opencl_context = cl.create_some_context(interactive=False)
+opencl_queue = cl.CommandQueue(opencl_context)
+
+kernel_src_path = "./kernel.c"
+
+frames = 1
+rendered_frames = []
+
+image = np.empty([img_res_x, img_res_y], np.uint32)
+
+plt.style.use('dark_background')
+# fuck this shit
+fig = plt.figure(frameon=False)
+fig.set_size_inches(img_res_x/fig.dpi, img_res_y/fig.dpi)
+#fig.set_size_inches(width/height, 1, forward=False)
+
+
+ax = plt.Axes(fig, [0., 0., 1., 1.])
+
+#ax.invert_yaxis()
+ax.set_xlim((-periods * np.pi) + (square_x * np.pi), (periods  * np.pi) + (square_x * np.pi))
+ax.set_ylim((-periods * np.pi) + (square_y * np.pi), (periods * np.pi) + (square_y * np.pi))
+
+#ax.set_axis_off()
+fig.add_axes(ax)
+mplstyle.use('fast')
+
+cmap = plt.cm.viridis
+cmap.set_bad((0,0,0))
+cmap.set_over((0,0,0))
+cmap.set_under((0,0,0))
+
+
+
+
+print("compiling openCL kernel...")
+with open(kernel_src_path, 'r') as kernel_src:
+  compiled_kernel = cl.Program(opencl_context, kernel_src.read()).build()
+
+encoding_progress = alive_bar(frames, bar = 'filling', spinner = 'waves')
+
+def display_encoder_progress(current_frame: int, total_frames: int):
+    print("Encoding: frame {}/{}".format(current_frame, frames))
+
+temp_render_hook = False
+mp_image = None
+
+def render(axes):
+  global temp_render_hook
+  global mp_image
+  if not temp_render_hook:
+    temp_render_hook = True
+    x_min = axes.get_xlim()[0]
+    x_max = axes.get_xlim()[1]
+    y_min = axes.get_ylim()[1]
+    y_max = axes.get_ylim()[0]
+    print(axes.get_ylim())
+    compiled_kernel.render_frame(opencl_queue, image.shape, None, image_buffer, mask_buffer,
+                                 np.double(abs(x_max - x_min) / img_res_x),
+                                 np.double(abs(y_max - y_min) / img_res_y),
+                                 np.double(x_min), np.double(y_min), 
+                                 np.uint32(iterations), np.uint32(escape),
+                                 np.double(1))
+    cl.enqueue_copy(opencl_queue, image, image_buffer).wait()
+    print("kernel")
+    if mp_image == None:
+      mp_image = ax.imshow(image, norm="log", aspect="auto", cmap=cmap, interpolation='none', extent=(x_min, x_max, y_min, y_max)) # TODO
+    else:
+      mp_image.set(extent=(x_min, x_max, y_min, y_max))
+      #ax.set_aspect('equal')
+      #mp_image.set_data(image)
+      mp_image.set_array(image)
+      
+
+    fig.canvas.draw_idle()
+    fig.canvas.flush_events()
+    temp_render_hook = False
+
+#plt.ion()
+
+#open image
+mask_path = "mask.png"
+mask = np.asarray(Image.open(mask_path).convert("L").resize((img_res_x, img_res_y)), dtype=np.double)
+#mask = np.zeros((1000, 1000), dtype=np.double)
+mask.setflags(write=1)
+mask /= np.max(mask) # normalize
+print(mask.shape)
+print(mask.dtype)
+print(mask)
+#ax.imshow(mask, norm="linear")
+#plt.show()
+
+image_buffer = cl.Buffer(opencl_context, cl.mem_flags.WRITE_ONLY, image.nbytes)
+mask_buffer = cl.Buffer(opencl_context, cl.mem_flags.READ_ONLY, mask.nbytes)
+cl.enqueue_copy(opencl_queue, mask_buffer, mask).wait()
+#mask_buffer = cl.array.Array(opencl_context,mask.shape, dtype=np.uint8, data=mask)
+
+#move to render
+print("Rendering {} frames...".format(frames))
+if frames > 1:
+    with alive_bar(frames, bar = 'filling', spinner = 'waves') as bar_total:
+        for frame_i in range(0, frames):
+            compiled_kernel.render_frame(opencl_queue, image.shape, None, image_buffer, mask,
+                                         np.double(abs(x_max - x_min) / img_res_x),
+                                         np.double(abs(y_max - y_min) / img_res_y),
+                                         np.double(x_min), np.double(y_min), 
+                                         np.uint32(iterations), np.uint32(escape),
+                                         np.double(frame_i / frames))
+
+
+            cl.enqueue_copy(opencl_queue, image, image_buffer).wait()
+            rendered_frame = ax.imshow(image, norm="log", aspect="auto", cmap=cmap, animated="True")
+            rendered_frames.append([rendered_frame])
+            bar_total()
+    print("Encoding/Saving...")
+    ani = animation.ArtistAnimation(fig, rendered_frames, interval=30, blit=True)
+    ani.save(animation_progres_save, extra_args=['-preset', 'lossless'], progress_callback=display_encoder_progress, codec="h264_nvenc")
+else:
+  ax.callbacks.connect('ylim_changed', render)
+  ax.callbacks.connect('xlim_changed', render)
+  render(ax)
+  plt.show(block=True)
+
+        
diff --git a/live_play/kernel.c b/live_play/kernel.c
new file mode 100644
index 0000000..e572a48
--- /dev/null
+++ b/live_play/kernel.c
@@ -0,0 +1,40 @@
+//#include <math.h>
+#define PI 3.141592653589793115997963468544185161590576171875
+
+double cosecant_single(double a, double b) { return a / sin(b); }
+double secant_single(double a, double b) { 
+  //double killme = (double)floor(b / (PI / 2.0)) * (double)(PI / 2.0);
+  //return a / sin(killme); 
+  //return a / sin((PI / 2.0));
+  //return a / sin(PI);
+  return a / sin(-PI);
+}
+
+
+__kernel void render_frame(__global unsigned int *frame_output, __global double *mask, 
+    double x_step, double y_step,
+    double x_start, double y_start,
+    unsigned int iterations, unsigned int escape, double ratio) {  
+  unsigned int result;
+  double x = (get_global_id(0) * x_step) + x_start;
+  double y = (get_global_id(1) * y_step) + y_start;
+  size_t img_index = (get_global_id(1) * get_global_size(1)) + get_global_id(0);
+
+  unsigned int iter;
+
+    
+  
+  for(iter = 0; iter < iterations; iter++) { 
+    double next_x;
+    double r = mask[img_index];
+    next_x = (r * cosecant_single(x, y)) + ((1 - r) * secant_single(x, y));
+    y = (r * cosecant_single(y, x)) + ((1 - r) * secant_single(y, x));
+    x = next_x;
+    if((pow(x, 2) + pow(y, 2)) >= escape) break;
+  }
+  
+
+  
+  frame_output[img_index] = iter;
+  //frame_output[img_index] = mask[img_index] * 255;
+}
diff --git a/live_play/mask.png b/live_play/mask.png
new file mode 120000
index 0000000..5209b4e
--- /dev/null
+++ b/live_play/mask.png
@@ -0,0 +1 @@
+../masks/threedots.png
\ No newline at end of file
diff --git a/live_play/notes b/live_play/notes
new file mode 100644
index 0000000..50249d7
--- /dev/null
+++ b/live_play/notes
@@ -0,0 +1,79 @@
+#!/usr/bin/env python3
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+import pyopencl as cl
+from alive_progress import alive_bar
+
+img_res_x = 2000
+img_res_y = 2000
+total_pixels = img_res_x * img_res_y # so we don't gotta compute it every time
+
+periods = 1
+square_x = 0
+square_y = 0
+
+xmin = (-periods * np.pi) + (square_x * np.pi)
+xmax = (periods  * np.pi) + (square_x * np.pi)
+ymin = (-periods * np.pi) + (square_y * np.pi)
+ymax = (periods * np.pi) + (square_y * np.pi)
+
+escape = 10000
+iterations = 255*3
+c_x = 2 * np.pi
+c_y = 2 * np.pi
+
+animation_progres_save = "./animations"
+frames = 120
+
+rendered_frames = []
+
+
+plt.style.use('dark_background')
+# fuck this shit
+fig = plt.figure(frameon=False)
+fig.set_size_inches(img_res_x/fig.dpi, img_res_y/fig.dpi)
+#fig.set_size_inches(width/height, 1, forward=False)
+
+ax = plt.Axes(fig, [0., 0., 1., 1.])
+ax.set_axis_off()
+fig.add_axes(ax)
+
+cmap = plt.cm.viridis
+cmap.set_bad((0,0,0))
+cmap.set_over((0,0,0))
+cmap.set_under((0,0,0))
+
+opencl_context = cl.create_some_context()
+opencl_queue = cl.CommandQueue(opencl_context)
+
+
+#def render():
+#  image = np.empty([img_res_y, img_res_x])
+#  print("Rendering frames")
+#  with alive_bar(frames, bar = 'filling', spinner = 'waves') as bar_total:
+#    for frame in range(frames):
+#      split_ratio = frame / frames
+#      for pix_y, y in enumerate(np.linspace(ymin, ymax, img_res_y)):
+#        for pix_x, x in enumerate(np.linspace(xmin, xmax, img_res_x)):
+#          on_x = x
+#          on_y = y
+#          for i in range(iterations):
+#            next_x = (split_ratio * (on_x/np.sin(on_y))) + ((1 - split_ratio) * on_x/np.tan(on_y))
+#            on_y = (split_ratio * (on_y/np.sin(on_x))) + ((1 - split_ratio) * on_y/np.tan(on_x))
+#            on_x = next_x
+#            if on_x**2 + on_y**2 > escape:
+#              break
+#          image[pix_y][pix_x] = i
+#      rendered_frame = ax.imshow(image, norm="log", aspect="auto", cmap=cmap, animated=False)
+#      rendered_frames.append([rendered_frame])
+#      bar_total()
+        
+def display():
+  print(rendered_frames)
+  ani = animation.ArtistAnimation(fig, rendered_frames, interval=30, blit=True)
+  ani.save("test.mp4")
+  plt.show()
+
+render()
+display()