diff --git a/Dockerfile b/Dockerfile
index 0b17cc5..ead019d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -2,9 +2,20 @@ FROM pengchuanzhang/pytorch:ubuntu20.04_torch1.9-cuda11.3-nccl2.9.9
 
 ENTRYPOINT []
 
+# install GLIP
+RUN mkdir /app/MODEL -p
+RUN wget https://penzhanwu2bbs.blob.core.windows.net/data/GLIPv1_Open/models/swin_tiny_patch4_window7_224.pth \
+     -O /app/MODEL/swin_tiny_patch4_window7_224.pth
+RUN wget https://penzhanwu2bbs.blob.core.windows.net/data/GLIPv1_Open/models/glip_a_tiny_o365.pth \
+     -O /app/MODEL/glip_a_tiny_o365.pth
+RUN pip install einops shapely timm yacs tensorboardX ftfy prettytable pymongo transformers loralib==0.1.1
+COPY . /app
+ENV CUDA_HOME="/usr/local/cuda"
+RUN cd /app && python setup.py build develop --user && cd /
+
+# setup ymir & ymir-GLIP
 RUN pip install "git+https://github.com/modelai/ymir-executor-sdk.git@ymir2.4.0"
 
-COPY . /app
 RUN mkdir /img-man && mv /app/ymir/img-man/*.yaml /img-man/
 
 ENV PYTHONPATH=.
diff --git a/maskrcnn_benchmark/data/datasets/coco.py b/maskrcnn_benchmark/data/datasets/coco.py
index 095af9e..78a2ade 100644
--- a/maskrcnn_benchmark/data/datasets/coco.py
+++ b/maskrcnn_benchmark/data/datasets/coco.py
@@ -223,10 +223,10 @@ def __getitem__(self, idx):
             classes = torch.ones_like(classes)
         target.add_field("labels", classes)
 
-        if anno and "segmentation" in anno[0]:
-            masks = [obj["segmentation"] for obj in anno]
-            masks = SegmentationMask(masks, img.size, mode='poly')
-            target.add_field("masks", masks)
+        # if anno and "segmentation" in anno[0]:
+        #     masks = [obj["segmentation"] for obj in anno]
+        #     masks = SegmentationMask(masks, img.size, mode='poly')
+        #     target.add_field("masks", masks)
 
         if anno and "cbox" in anno[0]:
             cboxes = [obj["cbox"] for obj in anno]
diff --git a/setup.py b/setup.py
index 1a759f5..7f912af 100644
--- a/setup.py
+++ b/setup.py
@@ -28,16 +28,15 @@ def get_extensions():
     extra_compile_args = {"cxx": []}
     define_macros = []
 
-    if torch.cuda.is_available() and CUDA_HOME is not None:
-        extension = CUDAExtension
-        sources += source_cuda
-        define_macros += [("WITH_CUDA", None)]
-        extra_compile_args["nvcc"] = [
-            "-DCUDA_HAS_FP16=1",
-            "-D__CUDA_NO_HALF_OPERATORS__",
-            "-D__CUDA_NO_HALF_CONVERSIONS__",
-            "-D__CUDA_NO_HALF2_OPERATORS__",
-        ]
+    extension = CUDAExtension
+    sources += source_cuda
+    define_macros += [("WITH_CUDA", None)]
+    extra_compile_args["nvcc"] = [
+        "-DCUDA_HAS_FP16=1",
+        "-D__CUDA_NO_HALF_OPERATORS__",
+        "-D__CUDA_NO_HALF_CONVERSIONS__",
+        "-D__CUDA_NO_HALF2_OPERATORS__",
+    ]
 
     sources = [os.path.join(extensions_dir, s) for s in sources]