From 0a2c92816cbc609089768d2d5d9effde1a66183d Mon Sep 17 00:00:00 2001 From: Daniel Saavedra Date: Mon, 10 Feb 2020 00:30:30 -0300 Subject: [PATCH] Update Readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index fc0879c..062b1c0 100755 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ ## Detection -Grab the pretrained weights of SSD and YOLO3 from https://drive.google.com/drive/folders/1FuhIJFxuzB9CLuRNwbKWFFsM6Nyweorf?usp=sharing +Grab the pretrained weights of SSD and YOLO3 from https://drive.google.com/drive/folders/1LSc9FkAwJrAAT8pAUWz8aax_biFAMMXS?usp=sharing ## Type of Data The images used for the design of this model were extracted by air analysis, specifically: FLIR aerial radiometric thermal infrared pictures, taken by UAV (R-JPEG format). Which were converted into .jpg images for the training of these detection models. @@ -164,7 +164,7 @@ The evaluation is integrated into the training process, if you want to do the in Compute the mAP performance of the model defined in `saved_weights_name` on the validation dataset defined in `valid_image_folder` and `valid_annot_folder`. # Result -All of weights of this trained model grab from https://drive.google.com/drive/folders/1FuhIJFxuzB9CLuRNwbKWFFsM6Nyweorf?usp=sharing +All of weights of this trained model grab from https://drive.google.com/drive/folders/1LSc9FkAwJrAAT8pAUWz8aax_biFAMMXS?usp=sharing ## Panel Detector ### SDD7 On folder Result_ssd7_panel show code (jupyter notebook), weight and result of this model (mAP 89.8%).