Update visualization codes
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		| @@ -24,6 +24,7 @@ if str(lib_dir) not in sys.path: | |||||||
|     sys.path.insert(0, str(lib_dir)) |     sys.path.insert(0, str(lib_dir)) | ||||||
|  |  | ||||||
|  |  | ||||||
|  | from datasets.synthetic_core import get_synthetic_env | ||||||
| from datasets.synthetic_example import create_example_v1 | from datasets.synthetic_example import create_example_v1 | ||||||
| from utils.temp_sync import optimize_fn, evaluate_fn | from utils.temp_sync import optimize_fn, evaluate_fn | ||||||
|  |  | ||||||
| @@ -169,6 +170,52 @@ def compare_cl(save_dir): | |||||||
|     os.system("{:} -pix_fmt yuv420p {xdir}/vis.webm".format(base_cmd, xdir=save_dir)) |     os.system("{:} -pix_fmt yuv420p {xdir}/vis.webm".format(base_cmd, xdir=save_dir)) | ||||||
|  |  | ||||||
|  |  | ||||||
|  | def visualize_env(save_dir): | ||||||
|  |     save_dir = Path(str(save_dir)) | ||||||
|  |     save_dir.mkdir(parents=True, exist_ok=True) | ||||||
|  |  | ||||||
|  |     dynamic_env = get_synthetic_env() | ||||||
|  |     min_t, max_t = dynamic_env.min_timestamp, dynamic_env.max_timestamp | ||||||
|  |     for idx, (timestamp, (allx, ally)) in enumerate(tqdm(dynamic_env, ncols=50)): | ||||||
|  |         dpi, width, height = 30, 1800, 1400 | ||||||
|  |         figsize = width / float(dpi), height / float(dpi) | ||||||
|  |         LabelSize, LegendFontsize, font_gap = 80, 80, 5 | ||||||
|  |         fig = plt.figure(figsize=figsize) | ||||||
|  |  | ||||||
|  |         cur_ax = fig.add_subplot(1, 1, 1) | ||||||
|  |         allx, ally = allx[:, 0].numpy(), ally[:, 0].numpy() | ||||||
|  |         cur_ax.scatter( | ||||||
|  |             allx, | ||||||
|  |             ally, | ||||||
|  |             color="k", | ||||||
|  |             linestyle="-", | ||||||
|  |             alpha=0.99, | ||||||
|  |             s=10, | ||||||
|  |             label="timestamp={:05d}".format(idx), | ||||||
|  |         ) | ||||||
|  |         cur_ax.set_xlabel("X", fontsize=LabelSize) | ||||||
|  |         cur_ax.set_ylabel("Y", rotation=0, fontsize=LabelSize) | ||||||
|  |         for tick in cur_ax.xaxis.get_major_ticks(): | ||||||
|  |             tick.label.set_fontsize(LabelSize - font_gap) | ||||||
|  |             tick.label.set_rotation(10) | ||||||
|  |         for tick in cur_ax.yaxis.get_major_ticks(): | ||||||
|  |             tick.label.set_fontsize(LabelSize - font_gap) | ||||||
|  |         cur_ax.set_xlim(-10, 10) | ||||||
|  |         cur_ax.set_ylim(-60, 60) | ||||||
|  |         cur_ax.legend(loc=1, fontsize=LegendFontsize) | ||||||
|  |  | ||||||
|  |         save_path = save_dir / "{:05d}".format(idx) | ||||||
|  |         fig.savefig(str(save_path) + ".pdf", dpi=dpi, bbox_inches="tight", format="pdf") | ||||||
|  |         fig.savefig(str(save_path) + ".png", dpi=dpi, bbox_inches="tight", format="png") | ||||||
|  |         plt.close("all") | ||||||
|  |     save_dir = save_dir.resolve() | ||||||
|  |     base_cmd = "ffmpeg -y -i {xdir}/%05d.png -vf scale=1800:1400 -pix_fmt yuv420p -vb 5000k".format( | ||||||
|  |         xdir=save_dir | ||||||
|  |     ) | ||||||
|  |     os.system("{:} {xdir}/env.mp4".format(base_cmd, xdir=save_dir)) | ||||||
|  |     os.system("{:} {xdir}/vis.webm".format(base_cmd, xdir=save_dir)) | ||||||
|  |  | ||||||
|  |  | ||||||
| if __name__ == "__main__": | if __name__ == "__main__": | ||||||
|  |  | ||||||
|     parser = argparse.ArgumentParser("Visualize synthetic data.") |     parser = argparse.ArgumentParser("Visualize synthetic data.") | ||||||
| @@ -180,4 +227,5 @@ if __name__ == "__main__": | |||||||
|     ) |     ) | ||||||
|     args = parser.parse_args() |     args = parser.parse_args() | ||||||
|  |  | ||||||
|  |     visualize_env(os.path.join(args.save_dir, "vis-env")) | ||||||
|     compare_cl(os.path.join(args.save_dir, "compare-cl")) |     compare_cl(os.path.join(args.save_dir, "compare-cl")) | ||||||
|   | |||||||
							
								
								
									
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								lib/datasets/synthetic_core.py
									
									
									
									
									
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										29
									
								
								lib/datasets/synthetic_core.py
									
									
									
									
									
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							| @@ -0,0 +1,29 @@ | |||||||
|  | import copy | ||||||
|  | from .synthetic_env import SyntheticDEnv | ||||||
|  | from .math_dynamic_funcs import DynamicQuadraticFunc | ||||||
|  | from .math_adv_funcs import ConstantFunc, ComposedSinFunc | ||||||
|  |  | ||||||
|  |  | ||||||
|  | def get_synthetic_env(total_timestamp=1000, num_per_task=1000, mode=None): | ||||||
|  |     mean_generator = ComposedSinFunc() | ||||||
|  |     std_generator = ComposedSinFunc(min_amplitude=0.5, max_amplitude=1.5) | ||||||
|  |     dynamic_env = SyntheticDEnv( | ||||||
|  |         [mean_generator], | ||||||
|  |         [[std_generator]], | ||||||
|  |         num_per_task=num_per_task, | ||||||
|  |         timestamp_config=dict( | ||||||
|  |             min_timestamp=-0.5, max_timestamp=1.5, num=total_timestamp, mode=mode | ||||||
|  |         ), | ||||||
|  |     ) | ||||||
|  |     function = DynamicQuadraticFunc() | ||||||
|  |     function_param = dict() | ||||||
|  |     function_param[0] = ComposedSinFunc( | ||||||
|  |         num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0 | ||||||
|  |     ) | ||||||
|  |     function_param[1] = ConstantFunc(constant=0.9) | ||||||
|  |     function_param[2] = ComposedSinFunc( | ||||||
|  |         num_sin_phase=5, phase_shift=0.4, max_amplitude=0.9 | ||||||
|  |     ) | ||||||
|  |     function.set(function_param) | ||||||
|  |     dynamic_env.set_oracle_map(copy.deepcopy(function)) | ||||||
|  |     return dynamic_env | ||||||
| @@ -43,6 +43,14 @@ class SyntheticDEnv(data.Dataset): | |||||||
|  |  | ||||||
|         self._oracle_map = None |         self._oracle_map = None | ||||||
|  |  | ||||||
|  |     @property | ||||||
|  |     def min_timestamp(self): | ||||||
|  |         return self._timestamp_generator.min_timestamp | ||||||
|  |  | ||||||
|  |     @property | ||||||
|  |     def max_timestamp(self): | ||||||
|  |         return self._timestamp_generator.max_timestamp | ||||||
|  |  | ||||||
|     def set_oracle_map(self, functor): |     def set_oracle_map(self, functor): | ||||||
|         self._oracle_map = functor |         self._oracle_map = functor | ||||||
|  |  | ||||||
| @@ -61,7 +69,7 @@ class SyntheticDEnv(data.Dataset): | |||||||
|         index, timestamp = self._timestamp_generator[index] |         index, timestamp = self._timestamp_generator[index] | ||||||
|         mean_list = [functor(timestamp) for functor in self._mean_functors] |         mean_list = [functor(timestamp) for functor in self._mean_functors] | ||||||
|         cov_matrix = [ |         cov_matrix = [ | ||||||
|             [cov_gen(timestamp) for cov_gen in cov_functor] |             [abs(cov_gen(timestamp)) for cov_gen in cov_functor] | ||||||
|             for cov_functor in self._cov_functors |             for cov_functor in self._cov_functors | ||||||
|         ] |         ] | ||||||
|  |  | ||||||
|   | |||||||
| @@ -53,6 +53,14 @@ class TimeStamp(UnifiedSplit, data.Dataset): | |||||||
|         self._total_num = num |         self._total_num = num | ||||||
|         UnifiedSplit.__init__(self, self._total_num, mode) |         UnifiedSplit.__init__(self, self._total_num, mode) | ||||||
|  |  | ||||||
|  |     @property | ||||||
|  |     def min_timestamp(self): | ||||||
|  |         return self._min_timestamp | ||||||
|  |  | ||||||
|  |     @property | ||||||
|  |     def max_timestamp(self): | ||||||
|  |         return self._max_timestamp | ||||||
|  |  | ||||||
|     def __iter__(self): |     def __iter__(self): | ||||||
|         self._iter_num = 0 |         self._iter_num = 0 | ||||||
|         return self |         return self | ||||||
|   | |||||||
										
											
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