[docker] updated docker for dependencies

Dockerfile_deps

@@ -7,7 +7,7 @@ LABEL maintainer="AliceVision Team [email protected]"
 # see https://hub.docker.com/r/nvidia/cuda/
 #
 # For example, to create a ubuntu 16.04 with cuda 8.0 for development, use
-# docker build --build-arg CUDA_TAG=8.0 --tag alicevision/popsift-deps:cuda${CUDA_TAG}-ubuntu${OS_TAG} .
+# docker build --build-arg CUDA_TAG=8.0 --tag alicevision/popsift-deps:cuda${CUDA_TAG}-ubuntu${OS_TAG} -f Dockerfile_deps .
 #
 # then execute with nvidia docker (https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0))
 # docker run -it --runtime=nvidia popsift_deps
@@ -32,12 +32,12 @@ RUN apt-get clean && apt-get update && apt-get install -y --no-install-recommend
         libboost-thread-dev \
  && rm -rf /var/lib/apt/lists/*
 
- # Manually install cmake
+# Manually install cmake
 WORKDIR /tmp/cmake
-ENV CMAKE_VERSION=3.17
+ENV CMAKE_VERSION=3.24
 ENV CMAKE_VERSION_FULL=${CMAKE_VERSION}.2
-RUN wget https://cmake.org/files/v3.17/cmake-${CMAKE_VERSION_FULL}.tar.gz && \
-    tar zxvf cmake-${CMAKE_VERSION_FULL}.tar.gz && \
+RUN wget https://cmake.org/files/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION_FULL}.tar.gz && \
+    tar zxf cmake-${CMAKE_VERSION_FULL}.tar.gz && \
     cd cmake-${CMAKE_VERSION_FULL} && \
     ./bootstrap --prefix=/usr/local  -- -DCMAKE_BUILD_TYPE:STRING=Release -DCMAKE_USE_OPENSSL:BOOL=ON && \
     make -j$(nproc) install && \