checaabaex

.gitattributes

@@ -14,4 +14,3 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
-model.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -45,9 +45,8 @@ import requests
 url = "http://images.cocodataset.org/val2017/000000039769.jpg"
 image = Image.open(requests.get(url, stream=True).raw)
 
-# you can specify the revision tag if you don't want the timm dependency
-processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50", revision="no_timm")
-model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50", revision="no_timm")
+processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
+model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
 
 inputs = processor(images=image, return_tensors="pt")
 outputs = model(**inputs)

model.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:830f5e2eeaada8c8c8281779dcc8ab12833972eb8514ed0a35be6c1d4420ad81
-size 166587896

preprocessor_config.json

@@ -1,7 +1,7 @@
 {
   "do_normalize": true,
   "do_resize": true,
-  "image_processor_type": "DetrImageProcessor",
+  "feature_extractor_type": "DetrFeatureExtractor",
   "format": "coco_detection",
   "image_mean": [
     0.485,
@@ -13,5 +13,6 @@
     0.224,
     0.225
   ],
-  "size": {"shortest_edge": 800, "longest_edge": 1333}
-}
+  "max_size": 1333,
+  "size": 800
+}