(gt, pred)
| 138 | |
| 139 | |
| 140 | def compute_errors(gt, pred): |
| 141 | thresh = np.maximum((gt / pred), (pred / gt)) |
| 142 | a1 = (thresh < 1.25).mean() |
| 143 | a2 = (thresh < 1.25**2).mean() |
| 144 | a3 = (thresh < 1.25**3).mean() |
| 145 | |
| 146 | abs_rel = np.mean(np.abs(gt - pred) / gt) |
| 147 | sq_rel = np.mean(((gt - pred) ** 2) / gt) |
| 148 | |
| 149 | rmse = (gt - pred) ** 2 |
| 150 | rmse = np.sqrt(rmse.mean()) |
| 151 | |
| 152 | rmse_log = (np.log(gt) - np.log(pred)) ** 2 |
| 153 | rmse_log = np.sqrt(rmse_log.mean()) |
| 154 | |
| 155 | err = np.log(pred) - np.log(gt) |
| 156 | silog = np.sqrt(np.mean(err**2) - np.mean(err) ** 2) * 100 |
| 157 | |
| 158 | log_10 = (np.abs(np.log10(gt) - np.log10(pred))).mean() |
| 159 | return dict( |
| 160 | a1=a1, a2=a2, a3=a3, abs_rel=abs_rel, rmse=rmse, log_10=log_10, rmse_log=rmse_log, silog=silog, sq_rel=sq_rel |
| 161 | ) |
| 162 | |
| 163 | |
| 164 |
nothing calls this directly
no outgoing calls
no test coverage detected