support for tiff images

Author: joaomarcoscrs

roboflow/core/project.py

@@ -22,6 +22,8 @@
     "image/jpeg",
     "image/png",
     "image/webp",
+    "image/tiff",
+    "image/tif",
 }
 
 

roboflow/util/folderparser.py

@@ -7,7 +7,7 @@
 
 from .image_utils import load_labelmap
 
-IMAGE_EXTENSIONS = {".jpg", ".jpeg", ".png", ".bmp"}
+IMAGE_EXTENSIONS = {".jpg", ".jpeg", ".png", ".bmp", ".tiff", ".tif"}
 ANNOTATION_EXTENSIONS = {".txt", ".json", ".xml", ".csv", ".jsonl"}
 LABELMAPS_EXTENSIONS = {".labels", ".yaml", ".yml"}
 

tests/images/file_example_TIFF_1MB.tiff

@@ -15,6 +15,7 @@ def test_check_valid_image_with_accepted_formats(self):
             "rabbit2.jpg",
             "hand-rabbit.PNG",
             "woodland-rabbit.png",
+            "file_example_TIFF_1MB.tiff",
         ]
 
         for image in images_to_test:
@@ -32,7 +33,7 @@ def test_check_valid_image_with_unaccepted_formats(self):
     def test_upload_raises_upload_image_error(self):
         responses.add(
             responses.POST,
-            f"{API_URL}/dataset/{PROJECT_NAME}/upload?api_key={ROBOFLOW_API_KEY}" f"&batch={DEFAULT_BATCH_NAME}",
+            f"{API_URL}/dataset/{PROJECT_NAME}/upload?api_key={ROBOFLOW_API_KEY}&batch={DEFAULT_BATCH_NAME}",
             json={
                 "error": {
                     "message": "Invalid image.",
@@ -58,15 +59,15 @@ def test_upload_raises_upload_annotation_error(self):
         # Image upload
         responses.add(
             responses.POST,
-            f"{API_URL}/dataset/{PROJECT_NAME}/upload?api_key={ROBOFLOW_API_KEY}" f"&batch={DEFAULT_BATCH_NAME}",
+            f"{API_URL}/dataset/{PROJECT_NAME}/upload?api_key={ROBOFLOW_API_KEY}&batch={DEFAULT_BATCH_NAME}",
             json={"success": True, "id": image_id},
             status=200,
         )
 
         # Annotation
         responses.add(
             responses.POST,
-            f"{API_URL}/dataset/{PROJECT_NAME}/annotate/{image_id}?api_key={ROBOFLOW_API_KEY}" f"&name={image_name}",
+            f"{API_URL}/dataset/{PROJECT_NAME}/annotate/{image_id}?api_key={ROBOFLOW_API_KEY}&name={image_name}",
             json={
                 "error": {
                     "message": "Image was already annotated.",