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fix: flask preview line height should scale with zoom
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0aae99e808
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2 changed files with 3 additions and 6 deletions
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@ -308,9 +308,7 @@ def create_preview_pane_image(previews, selected_preview, loss_history,
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else:
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else:
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loss_history_to_show = loss_history[-show_last_history_iters_count:]
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loss_history_to_show = loss_history[-show_last_history_iters_count:]
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lh_height = int(100 * zoom.scale)
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lh_height = int(100 * zoom.scale)
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# FIXME: investigate old behavior (batch_size, lh_height)
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lh_img = models.ModelBase.get_loss_history_preview(loss_history_to_show, iteration, w, c, lh_height)
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# lh_img = models.ModelBase.get_loss_history_preview(loss_history_to_show, iteration, batch_size, w, c, lh_height)
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lh_img = models.ModelBase.get_loss_history_preview(loss_history_to_show, iteration, w, c)
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final = np.concatenate([final, lh_img], axis=0)
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final = np.concatenate([final, lh_img], axis=0)
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final = np.concatenate([final, selected_preview_rgb], axis=0)
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final = np.concatenate([final, selected_preview_rgb], axis=0)
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@ -535,7 +535,7 @@ class ModelBase(object):
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def get_summary_text(self):
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def get_summary_text(self):
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visible_options = self.options.copy()
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visible_options = self.options.copy()
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visible_options.update(self.options_show_override)
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visible_options.update(self.options_show_override)
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###Generate text summary of model hyperparameters
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###Generate text summary of model hyperparameters
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#Find the longest key name and value string. Used as column widths.
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#Find the longest key name and value string. Used as column widths.
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width_name = max([len(k) for k in visible_options.keys()] + [17]) + 1 # Single space buffer to left edge. Minimum of 17, the length of the longest static string used "Current iteration"
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width_name = max([len(k) for k in visible_options.keys()] + [17]) + 1 # Single space buffer to left edge. Minimum of 17, the length of the longest static string used "Current iteration"
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@ -574,10 +574,9 @@ class ModelBase(object):
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return summary_text
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return summary_text
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@staticmethod
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@staticmethod
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def get_loss_history_preview(loss_history, iter, w, c):
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def get_loss_history_preview(loss_history, iter, w, c, lh_height=100):
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loss_history = np.array (loss_history.copy())
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loss_history = np.array (loss_history.copy())
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lh_height = 100
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lh_img = np.ones ( (lh_height,w,c) ) * 0.1
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lh_img = np.ones ( (lh_height,w,c) ) * 0.1
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if len(loss_history) != 0:
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if len(loss_history) != 0:
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