From 4f436ae572a2ea102096d2eaac92865a37ee8f99 Mon Sep 17 00:00:00 2001 From: Maksim Litvinov <95618433+maksimlitvinov39kg@users.noreply.github.com> Date: Thu, 27 Jun 2024 06:23:10 +0300 Subject: [PATCH] Minor fixes for links and typos (#350) * Update README.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md * Update Model_Zoo.md --- docs/source/tutorials/Model_Zoo.md | 50 +++++++++++++++--------------- tools/README.md | 2 +- 2 files changed, 26 insertions(+), 26 deletions(-) diff --git a/docs/source/tutorials/Model_Zoo.md b/docs/source/tutorials/Model_Zoo.md index 797be256..1b5bab97 100644 --- a/docs/source/tutorials/Model_Zoo.md +++ b/docs/source/tutorials/Model_Zoo.md @@ -106,21 +106,21 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 42.2 model - Anchor-DETR-R50-DC5 (converted) + Anchor-DETR-R50-DC5 (converted) R-50 IN1k 50 44.2 model - Anchor-DETR-R101 (converted) + Anchor-DETR-R101 (converted) R-101 IN1k 50 43.5 model - Anchor-DETR-R101-DC5 (converted) + Anchor-DETR-R101-DC5 (converted) R-101 IN1k 50 @@ -290,7 +290,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w box
AP Download - DINO-R50-4scale + DINO-R50-4scale R50 IN1k 12 @@ -298,7 +298,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 49.2 model - DINO-R50-4scale (hacked trainer) + DINO-R50-4scale (hacked trainer) R-50 IN1k 12 @@ -314,7 +314,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 49.4 model - DINO-R50-5scale + DINO-R50-5scale R50 IN1k 12 @@ -322,7 +322,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 49.6 model - DINO-R50-4scale + DINO-R50-4scale R50 IN1k 12 @@ -330,7 +330,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 49.5 model - DINO-R50-4scale + DINO-R50-4scale R50 IN1k 24 @@ -338,7 +338,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 50.6 model - DINO-R101-4scale + DINO-R101-4scale R101 IN1k 12 @@ -359,7 +359,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w Denoising Queries box
AP Download - DINO-Swin-T-224-4scale + DINO-Swin-T-224-4scale Swin-Tiny-224 IN1k 12 @@ -367,7 +367,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 51.3 model - DINO-Swin-T-224-4scale + DINO-Swin-T-224-4scale Swin-Tiny-224 IN22k to IN1k 12 @@ -375,7 +375,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 52.5 model - DINO-Swin-S-224-4scale + DINO-Swin-S-224-4scale Swin-Small-224 IN1k 12 @@ -383,7 +383,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 53.0 model - DINO-Swin-B-384-4scale + DINO-Swin-B-384-4scale Swin-Base-384 IN22k to IN1k 12 @@ -391,7 +391,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 55.8 model - DINO-Swin-L-224-4scale + DINO-Swin-L-224-4scale Swin-Large-224 IN22k to IN1k 12 @@ -399,7 +399,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 56.9 model - DINO-Swin-L-384-4scale + DINO-Swin-L-384-4scale Swin-Large-384 IN22k to IN1k 12 @@ -407,7 +407,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 56.9 model - DINO-Swin-L-384-5scale + DINO-Swin-L-384-5scale Swin-Large-384 IN22k to IN1k 12 @@ -415,7 +415,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 57.5 model - DINO-Swin-L-384-4scale + DINO-Swin-L-384-4scale Swin-Large-384 IN22k to IN1k 36 @@ -423,7 +423,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 58.1 model - DINO-Swin-L-384-5scale + DINO-Swin-L-384-5scale Swin-Large-384 IN22k to IN1k 36 @@ -443,7 +443,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w Denoising Queries box
AP Download - DINO-FocalNet-Large-4scale + DINO-FocalNet-Large-4scale FocalNet-384-LRF-3Level IN22k 12 @@ -451,7 +451,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 57.5 model - DINO-FocalNet-Large-4scale + DINO-FocalNet-Large-4scale FocalNet-384-LRF-4Level IN22k 12 @@ -459,7 +459,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 58.0 model - DINO-FocalNet-Large-5scale + DINO-FocalNet-Large-5scale FocalNet-384-LRF-4Level IN22k 12 @@ -481,7 +481,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w box
AP Download - DINO-ViTDet-Base-4scale + DINO-ViTDet-Base-4scale ViT IN1k, MAE 12 @@ -489,7 +489,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 50.2 model - DINO-ViTDet-Base-4scale + DINO-ViTDet-Base-4scale ViT IN1k, MAE 50 @@ -497,7 +497,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 55.0 model - DINO-ViTDet-Large-4scale + DINO-ViTDet-Large-4scale ViT IN1k, MAE 12 @@ -505,7 +505,7 @@ Here we provides our pretrained baselines with **detrex**. And more pretrained w 52.9 model - DINO-ViTDet-Large-4scale + DINO-ViTDet-Large-4scale ViT IN1k, MAE 50 diff --git a/tools/README.md b/tools/README.md index f885ba83..d6b1c8fb 100644 --- a/tools/README.md +++ b/tools/README.md @@ -15,7 +15,7 @@ A script to launch training, it surpports: Usage: -* STER 1: modify slurm config +* STEP 1: modify slurm config ```bash $ cp configs/hydra/slurm/research.yaml configs/hydra/slurm/${CLUSTER_ID}.yaml && \ vim configs/hydra/slurm/${CLUSTER_ID}.yaml