Preliminary testing for 20211027 builds

Author: mmartial

.dockerignore

@@ -0,0 +1,12 @@
+# Core files
+.git*
+JetsonNano
+Builds-DockerHub.md
+LICENSE
+runDocker.sh
+test/
+# Build artifacts
+BuildInfo-*/
+*.log
+*.log.temp
+*.cmd

Makefile

@@ -3,7 +3,7 @@ SHELL := /bin/bash
 .PHONY: all build_all actual_build build_prep
 
 # Release to match data of Dockerfile and follow YYYYMMDD pattern
-CTO_RELEASE=20210812
+CTO_RELEASE=20211027
 
 # Maximize build speed
 CTO_NUMPROC := $(shell nproc --all)
@@ -32,7 +32,7 @@ MLTK_CHECK="yes"
 STABLE_CUDA9=9.2
 STABLE_CUDA10=10.2
 STABLE_CUDA11p=11.2.2
-STABLE_CUDA11l=11.4.1
+STABLE_CUDA11l=11.4.2
 # For CUDA11 it might be possible to upgrade some of the pre-installed libraries to their latest version, this will add significant space to the container
 # to do, uncomment the line below the empty string set
 CUDA11_APT_XTRA=""
@@ -47,8 +47,8 @@ DNN_ARCH_CUDA10=6.0,6.1,7.0,7.5
 DNN_ARCH_CUDA11=6.0,6.1,7.0,7.5,8.0,8.6
 
 # According to https://opencv.org/releases/
-STABLE_OPENCV3=3.4.15
-STABLE_OPENCV4=4.5.3
+STABLE_OPENCV3=3.4.16
+STABLE_OPENCV4=4.5.4
 
 # TF2 at minimum CUDA 10.1
 # TF2 CUDA11 minimum is 2.4.0
@@ -76,16 +76,17 @@ TF2_PYTHON=3.8
 # 20200615: numpy 1.19.0 breaks TF build
 # 20201204: numpy >= 1.19.0 still breaks build for TF 1.15.4 & 2.3.1
 # 20210211: numpy >= 1.19.0 breaks TF 1.15.5 + numpy >= 1.20 breaks TF 2.4.1
+# 20211027: TF 2.6.0 specifies TF 1.19 so keeping restriction
 TF1_NUMPY='numpy<1.19.0'
 TF2_NUMPY='numpy<1.20.0'
 
 # PyTorch (from pip) using instructions from https://pytorch.org/
 # and https://pytorch.org/get-started/previous-versions/
 # 1.7.1 last version supported by 9.2
-PT_CPU="torch==1.9.0+cpu torchvision==0.10.0+cpu torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html"
+PT_CPU="torch==1.10.0+cpu torchvision==0.11.1+cpu torchaudio==0.10.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html"
 PT_CUDA9="torch==1.7.1+cu92 torchvision==0.8.2+cu92 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html"
 PT_CUDA10="torch torchvision torchaudio"
-PT_CUDA11="torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html"
+PT_CUDA11="torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html"
 
 ##########
 

ubuntu20.04/Dockerfile

@@ -12,7 +12,7 @@ FROM ${CTO_FROM}
 # Install system packages
 ARG DEBIAN_FRONTEND=noninteractive
 RUN apt-get update -y --fix-missing\
-  && apt-get install -y --no-install-recommends \
+  && apt-get install -y \
     apt-utils \
     locales \
     wget \
@@ -26,7 +26,7 @@ ENV LANG en_US.utf8
 ##### TensorFlow
 
 # Install system packages
-RUN apt-get install -y --no-install-recommends \
+RUN apt-get install -y \
     build-essential \
     checkinstall \
     cmake \
@@ -105,7 +105,7 @@ RUN curl -s -Lo /usr/local/bin/bazel https://github.com/bazelbuild/bazelisk/rele
 ##### OpenCV
 
 # Install system packages
-RUN apt-get install -y --no-install-recommends \
+RUN apt-get install -y \
     doxygen \
     file \
     gfortran \
@@ -142,8 +142,10 @@ RUN apt-get install -y --no-install-recommends \
     libopenblas-dev \
     libopencore-amrnb-dev \
     libopencore-amrwb-dev \
+    libopenjp2-7 \
     libopenjp2-7-dev \
     libopenjp2-tools \
+    libopenjpip-server \
     libpng-dev \
     libpostproc-dev \
     libprotobuf-dev \