def render(self, metrics: DetectionMetrics, md_list: DetectionMetricDataList) -> None:
"""
Renders various PR and TP curves.
:param metrics: DetectionMetrics instance.
:param md_list: DetectionMetricDataList instance.
"""
if self.verbose:
print('Rendering PR and TP curves')
def savepath(name):
return os.path.join(self.plot_dir, name + '.pdf')
summary_plot(md_list, metrics, min_precision=self.cfg.min_precision, min_recall=self.cfg.min_recall,
dist_th_tp=self.cfg.dist_th_tp, savepath=savepath('summary'))
for detection_name in self.cfg.class_names:
class_pr_curve(md_list, metrics, detection_name, self.cfg.min_precision, self.cfg.min_recall,
savepath=savepath(detection_name + '_pr'))
class_tp_curve(md_list, metrics, detection_name, self.cfg.min_recall, self.cfg.dist_th_tp,
savepath=savepath(detection_name + '_tp'))
for dist_th in self.cfg.dist_ths:
dist_pr_curve(md_list, metrics, dist_th, self.cfg.min_precision, self.cfg.min_recall,
savepath=savepath('dist_pr_' + str(dist_th)))
def render(self, md_list: MetricDataList, metrics: DetectionMetrics):
def savepath(name):
return os.path.join(self.plot_dir, name + '.pdf')
summary_plot(md_list,
metrics,
min_precision=self.cfg.min_precision,
min_recall=self.cfg.min_recall,
dist_th_tp=self.cfg.dist_th_tp,
savepath=savepath('summary'))
for detection_name in self.cfg.class_names:
class_pr_curve(md_list,
metrics,
detection_name,
self.cfg.min_precision,
self.cfg.min_recall,
savepath=savepath(detection_name + '_pr'))
class_tp_curve(md_list,
metrics,
detection_name,
self.cfg.min_recall,
self.cfg.dist_th_tp,
savepath=savepath(detection_name + '_tp'))
for dist_th in self.cfg.dist_ths:
dist_pr_curve(md_list,
metrics,
dist_th,
self.cfg.min_precision,
self.cfg.min_recall,
savepath=savepath('dist_pr_' + str(dist_th)))