From 0b29d94e8387badc76027db660403aa7550e5bd1 Mon Sep 17 00:00:00 2001 From: Kiran Sanjeevan Date: Sun, 15 Jul 2018 19:01:16 -0700 Subject: [PATCH] Added metrics for training --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 673657f..a652a1f 100644 --- a/README.md +++ b/README.md @@ -188,17 +188,17 @@ Script to generate training/testing splits. ##### Tensorboard -Training will create directory **logs/** which will store loss and checkpoints for all the different runs during training. +Training will create directory **logs/** which will store metrics and checkpoints for all the different training runs. Model passed is used for [transfer learning](https://en.wikipedia.org/wiki/Transfer_learning) (TRAINING FROM SCRATCH / TRAINING ONLY LAST LAYER SHOULD BE ADDED SOON). Example: `python3 dourflow.py train -m models/logo/coco_model.h5 -c confs/config_custom.json` -Then, in another terminal tab you can run `tensorboard --logdir=logs/run_X` and open a browser page at `http://localhost:6006/` to monitor the train/val loss: +Then, in another terminal tab you can run `tensorboard --logdir=logs/run_X` and open a browser page at `http://localhost:6006/` to monitor the loss, mAP, recall:

- +

@@ -211,6 +211,7 @@ Then, in another terminal tab you can run `tensorboard --logdir=logs/run_X` and - [ ] mAP write up - [x] Add webcam support - [ ] Data Augmentation +- [x] TensorBoard metrics #### Inspired from