update model url

Author: root

configs/caption_coco.yaml

@@ -3,7 +3,7 @@ ann_root: 'annotation'
 coco_gt_root: 'annotation/coco_gt'
 
 # set pretrained as a file path or an url
-pretrained: 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_base_caption.pth'
+pretrained: 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_caption_capfilt_large.pth'
 
 # size of vit model; base or large
 vit: 'base'

configs/nocaps.yaml

@@ -2,7 +2,7 @@ image_root: '/export/share/datasets/vision/nocaps/'
 ann_root: 'annotation'
 
 # set pretrained as a file path or an url
-pretrained: 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_base_caption.pth'
+pretrained: 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_caption_capfilt_large.pth'
 
 vit: 'base'
 batch_size: 32

configs/vqa.yaml

@@ -4,7 +4,7 @@ train_files: ['vqa_train','vqa_val','vg_qa']
 ann_root: 'annotation'
 
 # set pretrained as a file path or an url
-pretrained: 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_vqa.pth'
+pretrained: 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_vqa_capfilt_large.pth'
 
 # size of vit model; base or large
 vit: 'base'

demo.ipynb

@@ -99,7 +99,7 @@
     "image_size = 384\n",
     "image = load_demo_image(image_size=image_size, device=device)\n",
     "\n",
-    "model_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_base_caption.pth'\n",
+    "model_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_capfilt_large.pth'\n",
     "    \n",
     "model = blip_decoder(pretrained=model_url, image_size=image_size, vit='base')\n",
     "model.eval()\n",
@@ -153,7 +153,7 @@
     "image_size = 480\n",
     "image = load_demo_image(image_size=image_size, device=device)     \n",
     "\n",
-    "model_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_vqa.pth'\n",
+    "model_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_vqa_capfilt_large.pth'\n",
     "    \n",
     "model = blip_vqa(pretrained=model_url, image_size=image_size, vit='base')\n",
     "model.eval()\n",