A large scale garden train form to share information about G scale trains, or any trains that run on 45mm LGB-style track
We are very proud to launch Video-MME, the first-ever comprehensive evaluation benchmark of MLLMs in Video Analysis! 🌟 It includes short- (< 2min), medium- (4min~15min), and long-term (30min~60min) videos, ranging from11 seconds to 1 hour. All data are newly collected and annota...
such as ChatGPT, to address the limitations found in traditional recommendation methods. Traditional methods are typically task-specific and therefore require corresponding data to train distinct models for variousapplications. These methods often lack generalization capabilities and un...
15). The images are then dehazed to remove large-scale background light caused by scattered illumination and out-of-focus light. The image from the second view is then registered to the first view using an iterative multi-scale warping approach (Supplementary Fig. 16). In each iteration, th...
Differently, LOAF specifically targets at person localization in surveillance ap- plications, and has the following appealing characteristics: • Large-scale: LOAF is the largest in the filed, to our best knowledge. It consists of over 70 videos, with more...
MLDS 2025 is gearing up to be India’s biggest developers conference, uniting over 2,000 tech enthusiasts in Bangalore to explore Email: info@aimmediahouse.com Our Offices AIM India 1st Floor, Sakti Statesman, Marathahalli – Sarjapur Outer Ring Rd, Green Glen Layout, Bellandur, Bengaluru, Karn...
DISTRIBUTED_ARGS=" --nproc_per_node $NPROC_PER_NODE \ --nnodes $NNODES \ --node_rank $NODE_RANK \ --master_addr $MASTER_ADDR \ --master_port $MASTER_PORT " torchrun $DISTRIBUTED_ARGS src/train.py \ --deepspeed $DS_CONFIG_PATH \ --stage sft \ --do_train \ --model_name_o...
This pose is a bit more entertaining version of the previous group photo ideas. Ask group members to sit one behind another and make sure that every face is visible. Let the tallest people be in the “head of the train”. Try to avoid traditional height patterns, as they often hamper pe...
DISTRIBUTED_ARGS=" --nproc_per_node $NPROC_PER_NODE \ --nnodes $NNODES \ --node_rank $NODE_RANK \ --master_addr $MASTER_ADDR \ --master_port $MASTER_PORT " torchrun $DISTRIBUTED_ARGS src/train.py \ --deepspeed $DS_CONFIG_PATH \ --stage sft \ --do_train \ --model_name_o...
DISTRIBUTED_ARGS=" --nproc_per_node $NPROC_PER_NODE \ --nnodes $NNODES \ --node_rank $NODE_RANK \ --master_addr $MASTER_ADDR \ --master_port $MASTER_PORT " torchrun $DISTRIBUTED_ARGS src/train.py \ --deepspeed $DS_CONFIG_PATH \ --stage sft \ --do_train \ --model_name_o...