From 798f3cd1a6900099df07caac2cc2652238b756bc Mon Sep 17 00:00:00 2001 From: lorenzo Date: Fri, 23 Aug 2019 14:39:14 +0200 Subject: [PATCH] update titles --- README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index b20bb9d..e74879d 100644 --- a/README.md +++ b/README.md @@ -84,7 +84,7 @@ To check all the commands for the parser and the subparsers (including openpifpa or check the file `monoloco/run.py` -# Predict +# Prediction The predict script receives an image (or an entire folder using glob expressions), calls PifPaf for 2d human pose detection over the image and runs Monoloco for 3d location of the detected poses. @@ -140,7 +140,7 @@ The above gif has been obtained running on a Macbook the command: python3 -m monoloco.run predict --webcam --scale 0.2 --output_types combined --z_max 10 --checkpoint resnet50 --model data/models/monoloco-190513-1437.pkl ``` -# Preprocess +# Preprocessing ### Datasets @@ -176,7 +176,7 @@ by the image name to easily access ground truth files for evaluation and predict -# Train +# Training Provide the json file containing the preprocess joints as argument. As simple as `python3 -m monoloco.run --train --joints ` @@ -213,7 +213,8 @@ The average geometrical value for comparison can be obtained running: The following results are obtained running: `python3 -m monoloco.run eval --model data/models/monoloco-190719-0923.pkl --generate --dir_ann ` -![kitti_evaluation_table](docs/results_table.png) + ![kitti_evaluation](docs/results.png) +![kitti_evaluation_table](docs/results_table.png)