From cb69732f68c0bd46c1574de16ce1aee6f38e439b Mon Sep 17 00:00:00 2001 From: Brett Weiland Date: Tue, 11 Jun 2024 14:50:14 -0500 Subject: restarting --- mask_tests/mask.py | 153 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 153 insertions(+) create mode 100755 mask_tests/mask.py (limited to 'mask_tests/mask.py') diff --git a/mask_tests/mask.py b/mask_tests/mask.py new file mode 100755 index 0000000..ee801d4 --- /dev/null +++ b/mask_tests/mask.py @@ -0,0 +1,153 @@ +#!/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 +from matplotlib.backend_bases import MouseButton +from PIL import Image + +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 = 0 + +x_min = (-periods * np.pi) + (square_x * np.pi) +x_max = (periods * np.pi) + (square_x * np.pi) +y_min = (-periods * np.pi) + (square_y * np.pi) +y_max = (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 = "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.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)) + +mask_path = "mask.png" + +bruh = None + +def on_click(event): + global bruh + split_ratio = 1 + if (event.button is MouseButton.MIDDLE) and (event.inaxes): + # there's probably a way to set global coordinates; + # I don't expect this to go anywhere so I don't really care + on_x = ((event.xdata / img_res_x) * abs(x_max - x_min)) + x_min + on_y = ((event.ydata / img_res_y) * abs(y_max - y_min)) + y_min + + #I, uh, also don't know the best way to replicate the openCL code automaticly in python + #so ajust if nessesary + x_hops = [] + y_hops = [] + for i in range(iterations): + x_hops.append(((on_x - x_min) / abs(x_max - x_min)) * img_res_x) + y_hops.append(((on_y - y_min) / abs(y_max - y_min)) * img_res_y) + next_x = on_x/np.tan(on_y) + on_y = on_y/np.tan(on_x) + on_x = next_x + if on_x**2 + on_y**2 > escape: + break + print(y_hops[0]) + print(on_y) + print("{} hops".format(len(x_hops))) + if bruh: + bruh.pop(0).remove() + bruh = ax.plot(x_hops, y_hops) + plt.draw() + + + + print(on_x, on_y) + + +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)) + +#open image +mask = np.asarray(Image.open(mask_path).convert("L"), dtype=np.double) +mask.setflags(write=1) +mask /= np.max(mask) # normalize +print(mask.shape) +print(mask.dtype) +#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) + + + + +# TODO clean this up +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, + 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: + 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() + ax.imshow(image, norm="log", aspect="auto", cmap=cmap) + fig.savefig(single_frame_save) + plt.autoscale(False) + plt.connect('motion_notify_event', on_click) + plt.show() -- cgit v1.2.3