From cb69732f68c0bd46c1574de16ce1aee6f38e439b Mon Sep 17 00:00:00 2001 From: Brett Weiland Date: Tue, 11 Jun 2024 14:50:14 -0500 Subject: restarting --- live_play/gpu_migration.py | 154 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 154 insertions(+) create mode 100755 live_play/gpu_migration.py (limited to 'live_play/gpu_migration.py') 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) + + -- cgit v1.2.3