add kosmo-2 caption script and update diffusers and transformers to latest

caption_kosmos2.py

@@ -0,0 +1,99 @@
+"""
+Copyright [2022-2023] Victor C Hall
+
+Licensed under the GNU Affero General Public License;
+You may not use this code except in compliance with the License.
+You may obtain a copy of the License at
+
+    https://www.gnu.org/licenses/agpl-3.0.en.html
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+"""
+
+import os
+import io
+import argparse
+import time
+
+from PIL import Image
+from pynvml import *
+from transformers import AutoProcessor, AutoModelForVision2Seq
+
+
+GROUNDING = "<grounding>"
+
+SUPPORTED_EXT = [".jpg", ".png", ".jpeg", ".bmp", ".jfif", ".webp"]
+
+def get_gpu_memory_map():
+    nvmlInit()
+    handle = nvmlDeviceGetHandleByIndex(0)
+    info = nvmlDeviceGetMemoryInfo(handle)
+    nvmlShutdown()
+    return info.used/1024/1024
+
+def remove_starting_string(a, b):
+    if b.startswith(a):
+        return b[len(a):]  # Remove string A from the beginning of string B
+    else:
+        return b
+
+def main(args):
+     for root, dirs, files in os.walk(args.data_root):
+        for file in files:
+            #get file extension
+            ext = os.path.splitext(file)[1]
+            if ext.lower() in SUPPORTED_EXT:
+                start_time = time.time()
+
+                full_file_path = os.path.join(root, file)
+                image = Image.open(full_file_path)
+                model = AutoModelForVision2Seq.from_pretrained("microsoft/kosmos-2-patch14-224")
+                processor = AutoProcessor.from_pretrained("microsoft/kosmos-2-patch14-224")
+
+                full_file_path = os.path.join(root, file)
+                image = Image.open(full_file_path)
+
+                inputs = processor(text=GROUNDING+args.prompt, images=image, return_tensors="pt")
+
+                generated_ids = model.generate(
+                    pixel_values=inputs["pixel_values"],
+                    input_ids=inputs["input_ids"],
+                    attention_mask=inputs["attention_mask"],
+                    image_embeds=None,
+                    image_embeds_position_mask=inputs["image_embeds_position_mask"],
+                    use_cache=True,
+                    max_new_tokens=args.max_new_tokens,
+                )
+
+                generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]        
+                processed_text, entities = processor.post_process_generation(generated_text) # remove remaining special tokens to get just the caption and entities 
+
+                if not args.keep_prompt:
+                    processed_text = remove_starting_string(args.prompt, processed_text)
+
+                print(f"File: {image}, Generated caption: {processed_text}")
+
+                name = os.path.splitext(full_file_path)[0]
+                if not os.path.exists(f"{name}.txt") or args.over_write:
+                    with open(f"{name}.txt", "w") as f:
+                        f.write(processed_text)
+
+                if args.save_entities and (not os.path.exists(f"{name}.ent") or args.over_write):
+                    with open(f"{name}.ent", "w") as entities_file:
+                        entities_file.write(entities)
+
+if __name__ == "__main__":
+    print("Kosmos-2 captioning script")
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--data_root", type=str, default="input", help="Path to folder of images to caption")
+    parser.add_argument("--prompt", type=str, default="An image of", help="Prompt for generating caption")
+    parser.add_argument("--keep_prompt", action="store_true", default=False, help="will keep the prompt at the start of the caption when saved")
+    parser.add_argument("--max_new_tokens", type=int, default=128, help="Maximum number of tokens to generate")
+    parser.add_argument("--save_entities", action="store_true", default=False, help="Save coord box with entities to a separate .ent file")
+    parser.add_argument("--over_write", action="store_true", default=False, help="will overwrite txt and ent files if they exist")
+    args = parser.parse_args()
+    main(args)

docker/requirements-build.txt

@@ -1,8 +1,8 @@
-diffusers[torch]>=0.18.0
+diffusers[torch]>=0.21.4
 ninja
 numpy
 omegaconf==2.2.3
 protobuf==3.20.3
 pyre-extensions==0.0.29
 pytorch-lightning==1.9.2
-transformers==4.29.2
+transformers==4.35.0

windows_setup.cmd

@@ -4,8 +4,8 @@ echo should be in venv here
 cd .
 python -m pip install --upgrade pip
 pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url "https://download.pytorch.org/whl/cu118"
-pip install -U transformers==4.29.2
-pip install -U diffusers[torch]==0.18.0
+pip install -U transformers==4.35.0
+pip install -U diffusers[torch]==0.21.4
 pip install pynvml==11.4.1
 pip install -U pip install -U https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl
 pip install ftfy==6.1.1