def update_density_fn(self):
#Construct empty array for current image.
par_obj.im_for_train = [par_obj.curr_img]
v2.update_density_fn(par_obj)
self.plt2.cla()
self.plt2.imshow(par_obj.dense_array[par_obj.curr_img])
self.plt2.set_xticklabels([])
self.plt2.set_yticklabels([])
self.canvas2.draw()
def feat_scale_change_btn_fn(self):
self.feat_scale_change_btn.setEnabled(False)
print('Training Features')
processImgs()
v2.update_density_fn()
self.feat_scale_change_btn.setEnabled(True)
self.image_status_text.showMessage('Model Trained. Continue adding samples, or click \'Save Training Model\'. ')
self.save_model_btn.setEnabled(True)
v2.eval_pred_show_fn(par_obj.curr_img,par_obj,self)