0.24.0 (2023-03-31)
- add custom api path to swagger (4fe0df7)
- add percent error measure display (1cc15d6)
- api: add a model_stats field containing the number of parameters of the model (b562fee)
- api: add labels in service info (66cbff5)
- api: increase accepted header size (07f6ff3)
- log model parameters and size at service startup (041b649)
- regression: add l1 metric for regression (c82f08d)
- torch: add radam optimizer (5bba045)
- torch: add translation and bbox duplication to data augmentation (8752e1f)
- torch: allow data aug to be only noise or distort (5a02234)
- torch: allow data augmentation w/o db (f5b16b3)
- torch: data augmentation w/o db for bbox (a99ca7b)
- torch: set data augmentation factors as requested (e26a775)
- torch: update torch to 1.13 (9c5da36)
- trt: add int8 inference (a212a8e)
- trt: recompile engine if wrong version is detected (0f0bb62)
- upgrade to TensorRT 8.4.3 (1132760)
- api: re-add parameters in info call (df318cb)
- raise exception when a bbox file contains invalid classes (3a82a9d)
- readme: correct docker tags for ci-master (49dde89)
- regression: fix eucl metric in case of thresholded metric (a006615)
- take into account false negatives when computing average precision (11905eb)
- tensorrt: clarify conditions to rebuild engine (9d08b0a)
- torch: add measures to output event when training not done (5714767)
- torch: avoid race condition when building alphabet (b1accb7)
- torch: correctly normalize l1 and l2 metrics in case of multi dim regression (cc9a636)
- torch: data augmentation handle dummy bboxes correctly (53d0c39)
- torch: dataset size is half the database size (9541de1)
- torch: make multi dim regression for images work (00985bf)
- torch: small glitches in data augmentation (678944a)
- torch: when reading bbox dataset, also check that the class is not >= nclasses (7b2de88)
- trace_yolox: bbox shifted by 1 when training yolox (487bad7)
- trace_yolox: input shape for nonsquare images (6db03be)
- trace_yolox: make model autodetection work (7340a48)