Year-2021, the World is suffering from a deadly pandemic, countries are in and out of lockdowns. Every business, trade, the market has seen its worse in recent times. One of such is the chip industry, as the whole world has accepted work from home(WFH) as the new normal, the demand and sale for electronics went sky high, and accompanied by global logistics and nationwide shutdowns there is a huge gap between demand and supply. CHIP is now the 5th element of life just after air, water, fire, and earth. CHIP is used in every day to day device, many thanks…

NO CODING EXPERIENCE REQUIRED, This is an extensive article covering the majority of topics linked with CV and Nvidia-DS. To get started without reading and understanding the concept head over here to get your results in 5 mins, all commands are sequential and easy to follow.

Since the rise of machines(gpu and gpu friendly ecosystem)- and the omnipresent internet there has been huge accumulation of all sorts of data(data in AI). Pictorial data — images, videos are easily available in billions and is just one Google search away. This has hugely benefited researchers and developers to use such collection and…

Previous article: “TensorFlow Object Detection in Windows (under 30 lines)”, covers about 95% of the same code displayed below with an explanation of each line, we will only look forward to the amendments made in previous code that now enables it to run inference on Videos instead of images.

Line 10–33

MODEL_NAME = ‘ssd_mobilenet_v2_coco’
VIDEO_NAME = ‘time_sq.mp4’
CWD_PATH = os.getcwd()PATH_TO_CKPT = os.path.join(CWD_PATH,MODEL_NAME,’frozen_inference_graph.pb’)PATH_TO_LABELS = os.path.join(CWD_PATH,’data’,’mscoco_complete_label_map.pbtxt’)NUM_CLASSES = 90label_map = label_map_util.load_labelmap(PATH_TO_LABELS)categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
category_index = label_map_util.create_category_index(categories)
config = tf.ConfigProto()config.gpu_options.per_process_gpu_memory_fraction = 1detection_graph = tf.Graph()with detection_graph.as_default():
od_graph_def = tf.GraphDef()…

Before we start this journey:

  1. You need to have TF-1.14 GPU installed in Windows machine to see how to do that please follow this link.
  2. Model-Master from TensorFlow should also be set up correctly to follow this link to see how it's done.

We will start with some brief description of what MODEL-ARCHITECTURE actually is, to know what more about which model to select please refer here. The model alone won't procure the desired results. There is more to it than meets the eye, to know more about some practical challenges you might face, please go through this post.


Please refer to my last post: Setting up TensorFlow 1.14 in bare Windows (if you are starting from scratch).

Model architectures come in different shapes and sizes, and by 2 min of Google search you might be able to select a suitable model architecture for your need, it may work like a charm if it is given the look-alike data-set it has been trained on(COCO-Dataset) but will give up if there is an anomaly. What if your need is very peculiar and does even come close to any predefined classes present in that pre-trained model(custom data-set), what if you want…

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

Before you continue reading let me clear WHY TF-1.14 when TF-2.2 is available? Its because you are bound to get stuck here and there, with importing libraries, getting all sort of weird error and the perk of using old model is you got many users stuck on the same problem as you and array of solutions, if one doesn’t work…

This article explores the basic foundational need for data in Artificial Intelligence and Machine Learning. First, let’s see what data in general means and what all are the sources.

“Data is a set of values of subjects with respect to qualitative or quantitative variables. Data and information or knowledge are often used interchangeably; however, data becomes information when it is viewed in context or in post-analysis.” Information in unrecognized form is data and there is lots of data floating around every one of us.

Data, as mentioned above, is information upon processing, it will be garbage to an unskilled eye…

AI, ML, Deep_Learning, Supervised/Unsupervised Learning, Computer_Vision, Self-Driving Car, iPhone X portrait mode, Pixel 3-night sight, Ok_GOOGLE, Hey_SIRI, Hey_CORTANA, Auto-correct and what not..all of these are sets and subsets of one another. A girl with many Faces and no name (GOT), what if all this started with Terminator 1 maybe not, actually it didn’t. In my lethargic search for truth and enlightenment, I found out some very brainy prof. …


AI enthusiast, Computer Vision Engineer. Self-Driving Cars needs camera not LIDAR. Vision is the Future.

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