Abstract: A visual target tracking method and apparatus based on deep adversarial training. The method includes: dividing each video frame of video data into several search regions; for each of the search regions, inputting a target template and the search region into a response graph regression network, and outputting a response graph corresponding to a target; for each of the search regions, inputting the target template, the search region, and the response graph into a discrimination network, and outputting a score of the search region; and using positioning information corresponding to a search region with the highest score as positioning information of the target in the video frame. The method can track a target by constructing a plurality of search regions, and can effectively track the target having a change in length-width ratio. End-to-end processing can be achieved by combining the response graph regression network with the discrimination network.

Abstract: A visual target tracking method and apparatus based on a deeply and densely connected neural network. The method includes: a data input step: inputting a target image of a first video frame and a second video frame in video data into a deeply and densely connected neural network; a target tracking step: performing, based on the target image, target detection on the second video frame by using the trained deeply and densely connected neural network; and a tracking result output step: outputting bounding box coordinates and a similarity graph of a target in the second video frame, determining the length and width of the target based on the bounding box coordinates, and determining a center position of the target based on the position of a maximum value in the similarity graph.

Abstract: A visual target tracking method and apparatus based on a deeply and densely connected neural network. The method includes: a data input step: inputting a target image of a first video frame and a second video frame in video data into a deeply and densely connected neural network; a target tracking step: performing, based on the target image, target detection on the second video frame by using the trained deeply and densely connected neural network; and a tracking result output step: outputting bounding box coordinates and a similarity graph of a target in the second video frame, determining the length and width of the target based on the bounding box coordinates, and determining a center position of the target based on the position of a maximum value in the similarity graph.

Abstract: A visual target tracking method and apparatus based on deep adversarial training. The method includes: dividing each video frame of video data into several search regions; for each of the search regions, inputting a target template and the search region into a response graph regression network, and outputting a response graph corresponding to a target; for each of the search regions, inputting the target template, the search region, and the response graph into a discrimination network, and outputting a score of the search region; and using positioning information corresponding to a search region with the highest score as positioning information of the target in the video frame. The method can track a target by constructing a plurality of search regions, and can effectively track the target having a change in length-width ratio. End-to-end processing can be achieved by combining the response graph regression network with the discrimination network.

Abstract: A plant material assembly for separating cannabis plant material is provided having a plant material hopper configured to receive the cannabis plant material and feed the cannabis plant material to a plant material separator. The plant material separator is configured to separate undesirable plant material from desirable plant material by using a first roller, a second roller, and a third roller. The first roller and the second roller separating the cannabis plant material into the desirable plant material and the undesirable plant material by sending the desirable plant material in a first directional path and the undesirable plant material in a second directional path. Next, the third roller is used in relation to the first roller and the second roller, wherein the third roller redirects the undesirable plant material from the second directional path into a third directional path and finally into a catch depository.

Abstract: A machine for making plant material smoking articles is provided having a feeding assembly that is configured to feed plant material to a combustible material rolling assembly. The combustible material rolling assembly includes a continuous stream of paper and a forming chute having a semispherical channel at a length and at least one adjustable guide. The combustible material rolling assembly is configured to roll the plant material in the continuous stream of paper at a wrapping rate within the semispherical channel to make at least one plant material smoking article. In some embodiments, the feeding assembly is either driven via gravity or a pneumatic delivery system. In one embodiment, at least one adjustable guide includes a tapered conical guide configured to additionally adjust the wrapping rate.

Abstract: A plant material assembly for separating cannabis plant material is provided having a plant material hopper configured to receive the cannabis plant material and feed the cannabis plant material to a plant material separator. The plant material separator is configured to separate undesirable plant material from desirable plant material by using a first roller, a second roller, and a third roller. The first roller and the second roller separating the cannabis plant material into the desirable plant material and the undesirable plant material by sending the desirable plant material in a first directional path and the undesirable plant material in a second directional path. Next, the third roller is used in relation to the first roller and the second roller, wherein the third roller redirects the undesirable plant material from the second directional path into a third directional path and finally into a catch depository.

Abstract: A rotational transfer assembly is provided to transfer at least one smoking article from a combustible material rolling assembly to a filter assembly. The rotational transfer assembly includes a transfer wheel configured to rotate in a rotational direction at a rotational speed and a plurality of transfer elements attached and positioned radially to the transfer wheel. Each of the plurality of transfer elements is configured to receive a smoking article traveling in a first direction at a linear speed from the combustible material rolling assembly. Next, each transfer element comprising a member of an air component set holds and retains the smoking article on the transfer element during rotation. In some embodiments, each transfer element of the plurality of transfer elements includes a semispherical shaped engagement surface configured to engage the plant material smoking article. In operation, the rotational speed and the linear speed is synchronized by the smoking article machine and a control assembly.